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Project: malss
(GitHub Link)
malss-master
malss
data.py
hierarchy.py
rfpimp.py
metrics.py
algorithm.py
template
report_clustering.html.tmp
report_clustering_jp.html.tmp
sample_code.py.tmp
report.html.tmp
report_jp.html.tmp
__init__.py
malss.py
test.py
app
app.py
learning_curve_base.py
overfitting.py
data_check.py
rfpimp.py
content.py
analysis.py
learning_curve.py
prediction.py
results.py
params.py
type_of_task.py
bias_variance.py
nonscroll_table.py
__init__.py
introduction.py
waiting_animation.py
feature_selection.py
error.py
set_file.py
results_base.py
static
learning_curve_jp.txt
learning_curve_2_en.txt
results_en.txt
learning_curve_2_jp.txt
bias_variance_jp.txt
overfitting_en.txt
cross_validation_en.txt
introduction_jp.txt
results_jp.txt
dummy_jp.txt
format_jp.txt
overfitting_jp.txt
introduction_en.txt
dummy_en.txt
cross_validation_jp.txt
supervised_learning_en.txt
format_en.txt
task_en.txt
learning_curve_en.txt
hyperparameter_jp.txt
check_curve_jp.txt
hyperparameter_en.txt
bias_variance_en.txt
check_curve_en.txt
categorical_jp.txt
categorical_en.txt
supervised_learning_jp.txt
task_jp.txt
analyzer.py
menuview.py
clustering.py
static
README.rst
setup.py
setup.cfg
.travis.yml
.gitignore
docs
Makefile
make.bat
malss.rst
modules.rst
index.rst
conf.py
LICENSE.txt
MANIFEST.in