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Support Matrix | Elastic
a Docker image. **** From 7.17.19 onwards, 7.17.x releases do...support MacOS 10.14, 10.15, CentOS 8, Debian 9, Windows 7, Windows...www.elastic.co/support/matrix -
Multiclass methods — scikit-learn 1.7.2 documen...
top Ctrl + K GitHub Choose version Multiclass methods # Examples...concerning the sklearn.multiclass module. Overview of multiclass...scikit-learn.org/stable/auto_examples/multiclass/index.html -
model_evaluation.rst.txt
evaluation (`mean_pinball_loss(..., alpha=0.99)` - we apologize...Association 102 (2007), pp. 359– 378. `link to pdf <https://sites.sta...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
roc_curve — scikit-learn 1.7.2 documentation
, 0. , 0.5, 0.5, 1. ]) >>> tpr array([0. , 0.5, 0.5, 1. , 1....1. ]) >>> thresholds array([ inf, 0.8 , 0.4 , 0.35, 0.1 ]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
make_hastie_10_2 — scikit-learn 1.7.2 documenta...
float64(-1.0), np.float64(1.0), np.float64(-1.0)] Gallery examples...list ( y [: 5 ]) [np.float64(-1.0), np.float64(1.0), np.float64(-1.0),...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html -
classification_report — scikit-learn 1.7.2 docu...
{ 'precision' : 0.5 , 'recall' : 1.0 , 'f1-score' : 0.67 , 'support'...recall f1-score support class 0 0.50 1.00 0.67 1 class 1 0.00 0.00...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
det_curve — scikit-learn 1.7.2 documentation
array([0. , 0.5, 0.5]) >>> thresholds array([0.35, 0.4 , 0.8 ])...([ 0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr , fnr , thresholds = det_curve...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
Dateline: In-Depth Investigations of News Stori...
state-of-the-art venue in the heart of “Music City,” this immersive...event — and you're invited! On Sunday, September 28th, join us...www.nbcnews.com/dateline -
HistGradientBoostingRegressor — scikit-learn 1....
{‘squared_error’, ‘absolute_error’, ‘gamma’, ‘poisson’, ‘quantile’}, def...'squared_error' , * , quantile = None , learning_rate = 0.1 , max_iter =...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
plot_hgbt_regression.ipynb
[], "source": [ "df[\"transfer\"][:17_760].unique()" ] }, { "cell_type":...{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source":...scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb