Classification Example

General application of dRFEtools, version 0.4.0+

import numpy as np
import pandas as pd
import os,errno,dRFEtools
from sklearn.model_selection import KFold
from sklearn.datasets import make_regression
from sklearn.datasets import make_classification
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, roc_auc_score
from sklearn.metrics import normalized_mutual_info_score as nmi

dRFEtools.__version__

'0.4.0'

Define functions to analyze cross-validation

Function

def dynamicRFE(estimator, x_train, x_test, y_train, y_test, fold, outdir, RF):
    # Extract feature names / generate unique features names for ranking
    features = ["feature_%d" % x for x in range(x_train.shape[1])]
    if RF:
        # Run dynamic RFE for random forest classification
        d, pfirst = dRFEtools.rf_rfe(estimator, x_train, y_train, np.array(features),
                                     fold, outdir, RANK=False) ## Using default values
    else:
        # Run dynamic RFE for all other models
        d, pfirst = dRFEtools.dev_rfe(estimator, x_train, y_train, np.array(features),
                                     fold, outdir, RANK=False) ## Do not rank
df_elim = pd.DataFrame(
    [
        {
            'fold': fold,
            'elimination': 0.2,
            'n features': k,
            'NMI score': d[k]['metrics'].get('nmi_score'),
            'Accuracy score': d[k]['metrics'].get('accuracy_score'),
            'ROC AUC score': d[k]['metrics'].get('roc_auc_score'),
        }
        for k in d.keys()
    ]
)
    n_features_max = max(d, key=lambda x: d[x]['metrics'].get('nmi_score', 0))
    try:
        ## Max features from lowess curve
        n_features, _ = dRFEtools.extract_max_lowess(d) ## Using default value: 0.3
        n_redundant, _ = dRFEtools.extract_peripheral_lowess(d) ## Using default values
    except ValueError:
        ## For errors in lowess estimate
        n_features = n_features_max
        n_redundant = n_features
    ## Fit model
    estimator.fit(x_train, y_train)
    all_fts = estimator.predict(x_test)
    estimator.fit(x_train[:, d[n_redundant]['indices']], y_train)
    labels_pred_redundant = estimator.predict(x_test[:, d[n_redundant]['indices']])
    estimator.fit(x_train[:, d[n_features]['indices']], y_train)
    labels_pred = estimator.predict(x_test[:, d[n_features]['indices']])
    ## Output test predictions
    kwargs = {"average": "weighted"}
    pd.DataFrame({'fold': fold, "elimination": 0.2, 'real': y_test,
                  'predict_all': all_fts, 'predict_max': labels_pred,
                  'predict_redundant': labels_pred_redundant})\
      .to_csv("%s/test_predictions.txt" % outdir, sep='\t', mode='a',
              index=True, header=True if fold == 0 else False)
    ## Save results into dictionary for easy manipulation
    output = dict()
    output['fold'] = fold
    output['elimination'] = 0.2
    output['n_features'] = n_features
    output['n_redundant'] = n_redundant
    output['n_max'] = n_features_max
    if RF:
        output['train_nmi'] = dRFEtools.oob_score_nmi(estimator, y_train)
        output['train_acc'] = dRFEtools.oob_score_accuracy(estimator, y_train)
        output['train_roc'] = dRFEtools.oob_score_roc(estimator, y_train)
    else:
         output['train_nmi'] = dRFEtools.dev_score_nmi(
             estimator, x_train[:, d[n_features]['indices']], y_train
         )
         output['train_acc'] = dRFEtools.dev_score_accuracy(
             estimator, x_train[:, d[n_features]['indices']], y_train
         )
         output['train_roc'] = dRFEtools.dev_score_roc(
             estimator, x_train[:, d[n_features]['indices']], y_train
         )
    output['test_nmi'] = nmi(y_test, labels_pred, average_method="arithmetic")
    output['test_acc'] = accuracy_score(y_test, labels_pred)
    output['test_roc'] = roc_auc_score(y_test, labels_pred, **kwargs)
    metrics_df = pd.DataFrame.from_records(output, index=[0])\
                             .reset_index().drop('index', axis=1)
    return df_elim, metrics_df

Details on the main functions used

dRFEtools.rf_rfe drives random-forest elimination using OOB metrics. It accepts a fitted estimator, feature matrix, label vector, feature names, and fold identifier, and returns a mapping keyed by n_features plus the first elimination step. Each entry exposes a metrics dictionary and the indices of surviving features, which align with the standardized API used throughout the tutorials.

dRFEtools.extract_max_lowess selects the feature count where the LOWESS curve peaks by analyzing the rate of change on the log10-transformed scores. Adjust frac to control the smoothing window or enable multi/acc to optimize for multi-class or accuracy-driven runs.

dRFEtools.extract_peripheral_lowess identifies the inflection point on the LOWESS-smoothed trajectory by scanning the derivative of the log10 curve using step_size. It returns the peripheral feature count and the corresponding log-transformed position.

These helpers live in dRFEtools.lowess.redundant and replace the legacy extract_redundant_lowess naming used in earlier releases.

Generate classification simulation data

We will first generate binary classification data on the same class as large-scale omics data.

  1. We will assume a sample size of 500, which would be a large number of samples for most human tissues.

  2. We will use a N of 20k for features. This is approximately the number of genes in a given region after removing low expression features.

  3. Finally, we will do roughly 400 total informative (1:3 informative to redundant). This is assuming 2% of genes are significant for the phenotype of interest.

# Create a dataset with only 10 informative features
X, y = make_classification(
    n_samples=500, n_features=20000, n_informative=100, n_redundant=300,
    n_repeated=0, n_classes=2, n_clusters_per_class=1, random_state=13,
    shuffle=False,
)

Initialize stratified 5-fold cross-validation

cv = StratifiedKFold(n_splits=5, shuffle=True, random_state=13)

Running analysis

Define functions

def mkdir_p(directory):
    try:
        os.makedirs(directory)
    except OSError as e:
        if e.errno != errno.EEXIST:
            raise

def dRFE_run(estimator, X, y, cv, outdir, RF=True):
    mkdir_p(outdir); fold = 0
    df_dict = pd.DataFrame(); output = pd.DataFrame()
    for train_index, test_index in cv.split(X, y):
        X_train, X_test = X[train_index, :], X[test_index, :]
        y_train, y_test = y[train_index], y[test_index]
        df_elim, metrics_df = dynamicRFE(estimator, X_train, X_test,
                                         y_train, y_test, fold, outdir, RF)
        df_dict = pd.concat([df_dict, df_elim], axis=0)
        output = pd.concat([output, metrics_df], axis=0)
        fold += 1
    df_dict.to_csv(f"{outdir}/dRFE_simulation.tsv", sep='\t',
                   index=False, header=True)
    output.to_csv(f"{outdir}/dRFE_simulation_metrics.tsv",
                  sep='\t', index=False, header=True)

Logistic regression

from sklearn.linear_model import LogisticRegression

outdir = "lr"
clf = LogisticRegression(max_iter=1000, n_jobs=-1)
dRFE_run(clf, X, y, cv, outdir, False)

/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

Increase the number of iterations (max_iter) or scale the data as shown in:
    https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  n_iter_i = _check_optimize_result(

pd.read_csv(f"{outdir}/dRFE_simulation_metrics.tsv", sep="\t")

elimination

fold

n_features

n_max

n_redundant

test_acc

test_nmi

test_roc

train_acc

train_nmi

train_roc

0

0.2

0

145

58

6553

0.88

0.472161

0.879552

1.0

1.0

1.0

1

0.2

1

20000

73

1372

0.86

0.415761

0.860000

1.0

1.0

1.0

2

0.2

2

228

182

5242

0.82

0.320912

0.820000

1.0

1.0

1.0

3

0.2

3

182

73

5242

0.91

0.564205

0.910000

1.0

1.0

1.0

4

0.2

4

1097

73

5242

0.84

0.365690

0.840000

1.0

1.0

1.0

SGD (Stochastic Gradient Descent) Classification

from sklearn.linear_model import SGDClassifier

outdir = "sgd_class"
clf = SGDClassifier(loss="hinge", penalty="l2", max_iter=5)
dRFE_run(clf, X, y, cv, outdir, False)

/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/linear_model/_stochastic_gradient.py:702: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.

pd.read_csv(f"{outdir}/dRFE_simulation_metrics.tsv", sep="\t")

elimination

fold

n_features

n_max

n_redundant

test_acc

test_nmi

test_roc

train_acc

train_nmi

train_roc

0

0.2

0

20000

1097

2683

0.81

0.300823

0.810524

0.9500

0.714946

0.950000

1

0.2

1

701

877

20000

0.85

0.390494

0.850000

0.9400

0.672832

0.940024

2

0.2

2

701

116

5242

0.88

0.478239

0.880000

0.9250

0.630066

0.925198

3

0.2

3

92

286

4193

0.92

0.610964

0.920000

0.9400

0.673663

0.940049

4

0.2

4

116

2683

6553

0.87

0.446329

0.870000

0.9325

0.667614

0.932736

SVC linear kernel

from sklearn.svm import LinearSVC

outdir = "svc"
clf = LinearSVC(random_state=13)
dRFE_run(clf, X, y, cv, outdir, False)

/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
/home/kynon/.local/lib/python3.11/site-packages/sklearn/svm/_base.py:1244: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.

pd.read_csv(f"{outdir}/dRFE_simulation_metrics.tsv", sep="\t")

elimination

fold

n_features

n_max

n_redundant

test_acc

test_nmi

test_roc

train_acc

train_nmi

train_roc

0

0.2

0

560

92

5242

0.90

0.533486

0.90036

1.0

1.0

1.0

1

0.2

1

20000

46

1372

0.85

0.390494

0.85000

1.0

1.0

1.0

2

0.2

2

228

1097

5242

0.79

0.260181

0.79000

1.0

1.0

1.0

3

0.2

3

560

1097

5242

0.91

0.569739

0.91000

1.0

1.0

1.0

4

0.2

4

3354

8192

5242

0.85

0.390494

0.85000

1.0

1.0

1.0

Random forest classifier

from sklearn.ensemble import RandomForestClassifier

outdir = "rf_class"
clf = RandomForestClassifier(n_estimators=100, n_jobs=-1, oob_score=True, random_state=13)
dRFE_run(clf, X, y, cv, outdir, True)

pd.read_csv(f"{outdir}/dRFE_simulation_metrics.tsv", sep="\t")

elimination

fold

n_features

n_max

n_redundant

test_acc

test_nmi

test_roc

train_acc

train_nmi

train_roc

0

0.2

0

92

58

286

0.82

0.324322

0.820728

0.8225

0.325818

0.822500

1

0.2

1

92

145

358

0.80

0.278884

0.800000

0.8350

0.354173

0.835046

2

0.2

2

116

58

560

0.86

0.421817

0.860000

0.8400

0.369307

0.839821

3

0.2

3

116

145

228

0.83

0.344766

0.830000

0.8600

0.416094

0.859946

4

0.2

4

116

116

286

0.81

0.298752

0.810000

0.8800

0.471719

0.880072

Session information

import session_info
session_info.show()

Click to view session information

-----
dRFEtools           0.3.4
numpy               1.24.3
pandas              2.0.2
session_info        1.0.0
sklearn             1.2.2
-----

Click to view modules imported as dependencies

PIL                 9.5.0
anyio               NA
arrow               1.2.3
asttokens           NA
attr                22.2.0
babel               2.12.1
backcall            0.2.0
cairo               1.23.0
cffi                1.15.1
chardet             5.1.0
colorama            0.4.6
comm                0.1.3
cycler              0.10.0
cython_runtime      NA
dateutil            2.8.2
debugpy             1.6.7
decorator           5.1.1
defusedxml          0.7.1
executing           1.2.0
fastjsonschema      NA
fqdn                NA
gi                  3.44.1
gio                 NA
glib                NA
gobject             NA
gtk                 NA
idna                3.4
ipykernel           6.23.1
isoduration         NA
jaraco              NA
jedi                0.18.2
jinja2              3.1.2
joblib              1.2.0
json5               NA
jsonpointer         2.3
jsonschema          4.17.3
jupyter_events      0.6.3
jupyter_server      2.6.0
jupyterlab_server   2.22.1
kiwisolver          1.4.4
markupsafe          2.1.3
matplotlib          3.7.1
mizani              0.9.2
more_itertools      9.1.0
mpl_toolkits        NA
nbformat            5.9.0
ordered_set         4.1.0
overrides           NA
packaging           23.1
parso               0.8.3
patsy               0.5.3
pexpect             4.8.0
pickleshare         0.7.5
pkg_resources       NA
platformdirs        3.5.1
plotnine            0.12.1
prometheus_client   NA
prompt_toolkit      3.0.38
psutil              5.9.5
ptyprocess          0.7.0
pure_eval           0.2.2
pydev_ipython       NA
pydevconsole        NA
pydevd              2.9.5
pydevd_file_utils   NA
pydevd_plugins      NA
pydevd_tracing      NA
pygments            2.15.1
pyparsing           3.0.9
pyrsistent          NA
pythonjsonlogger    NA
pytz                2023.3
requests            2.28.2
rfc3339_validator   0.1.4
rfc3986_validator   0.1.1
scipy               1.11.0
send2trash          NA
setuptools          68.0.0
six                 1.16.0
sniffio             1.3.0
stack_data          0.6.2
statsmodels         0.14.0
threadpoolctl       3.1.0
tornado             6.3.2
traitlets           5.9.0
typing_extensions   NA
uri_template        NA
urllib3             1.26.15
wcwidth             0.2.6
webcolors           1.13
websocket           1.5.2
yaml                6.0
zmq                 25.1.0

-----
IPython             8.14.0
jupyter_client      8.2.0
jupyter_core        5.3.0
jupyterlab          4.0.1
-----
Python 3.11.3 (main, Jun  5 2023, 09:32:32) [GCC 13.1.1 20230429]
Linux-6.3.8-arch1-1-x86_64-with-glibc2.37
-----
Session information updated at 2023-06-28 11:40