Analysis tools for machine learning projects
Project description
Analysis tools for Machine learning projects
1. Install
$ pip install analysis-tools
2. Tutorial
from analysis_tools.common import *
from analysis_tools.eda import *
from sklearn.datasets import fetch_openml
data = fetch_openml('titanic', version=1, as_frame=True, data_home='.')
target = 'survived'
num_features = ['age', 'sibsp', 'parch', 'fare']
cat_features = data.columns.drop(num_features)
data[num_features] = data[num_features].astype(np.float32)
data[cat_features] = data[cat_features].astype('category')
plot_missing_value(data)
plot_features(data, n_cols=3)
plot_corr(data)
plot_features_target(data, target)
자세한 내용은 examples/1_titanic/main.ipynb를 참고
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