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predicteasy : powerful autoML toolkit¶
PredictEasy is an exclusive python autoML library and command line utility that helps any developer to transform raw data into a machine-learning format.
Quick start¶
Classifier¶
from predicteasy.core.data import TableFrame
from predicteasy.core.supervised import Classifier
df = TableFrame(pd.read_csv('data/train.csv'))
y = df['Survived']
X = df.drop('Survived', axis=1)
clf = Classifier(X, y)
print(clf.scoring(multiple=True))
Regressor¶
from predicteasy.core.data import TableFrame
from predicteasy.core.supervised import Regressor
df = TableFrame(pd.read_csv('data/train.csv'))
y = df['Age']
X = df.drop('Age', axis=1)
clf = Regressor(X, y)
print(clf.scoring(multiple=True))
| ID | Model | Score | Elapsed |
| 1 | extra_tree | 1.0875861644744873 | 0.8181887043994667 |
| 2 | dtree | 0.8875861644744873 | 0.8181887043994667 |
| 3 | rfc | 0.875861644744873 | 0.8181887043994667 |
| 4 | xgb | 0.870861644744873 | 0.8181887043994667 |
Contributors¶
Core Lead¶
Development Leads¶
Infrastructure support¶
- We would like to thank GitHub for providing us with Github Cloud account to automatically build the documentation. <https://github.com/CleverInsight/predicteasy>`_.