Javier Mansilla jmansilla
jmansilla
/ projection_count_vectorizer.py
Last active
August 26, 2016 16:03
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| from sklearn.feature_extraction.text import CountVectorizer | |
| class ProjectionCountVectorizer(CountVectorizer): | |
| def __init__(self, projection_path, *args, **kwargs): | |
| self.projection_path = projection_path.split('/') | |
| super().__init__(*args, **kwargs) | |
| def build_preprocessor(self): | |
| built = super().build_preprocessor() |
jmansilla
/ onehot_transformer.py
Created
August 26, 2016 13:40
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| import numpy as np | |
| class OneHotTransformer: | |
| def __init__(self, func): | |
| self.f = func | |
| def fit(self, X, y=None): | |
| unseen = object() | |
| seen = set() | |
| for x in X: |
jmansilla
/ direct_transformer.py
Created
August 26, 2016 13:39
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| import numpy as np | |
| class DirectTransformer: | |
| """Utility for building class-like features from a single-point function, but that may need | |
| some general configuration first (you usually override __init__ for that) | |
| """ | |
| def fit(self, X, y=None): | |
| return self |