MiniBatchClassifier¶
A classifier that can operate on mini-batches.
Methods¶
learn_many
Update the model with a mini-batch of features X
and boolean targets y
.
Parameters
- X ('pd.DataFrame')
- y ('pd.Series')
Returns
MiniBatchClassifier: self
learn_one
Update the model with a set of features x
and a label y
.
Parameters
- x (dict)
- y (Union[bool, str, int])
Returns
Classifier: self
predict_many
Predict the outcome for each given sample.
Parameters
- X ('pd.DataFrame')
Returns
pd.Series: The predicted labels.
predict_one
Predict the label of a set of features x
.
Parameters
- x (dict)
Returns
typing.Union[bool, str, int, NoneType]: The predicted label.
predict_proba_many
Predict the outcome probabilities for each given sample.
Parameters
- X ('pd.DataFrame')
Returns
pd.DataFrame: A dataframe with probabilities of True
and False
for each sample.
predict_proba_one
Predict the probability of each label for a dictionary of features x
.
Parameters
- x (dict)
Returns
typing.Dict[typing.Union[bool, str, int], float]: A dictionary that associates a probability which each label.