predict

---

method predict(X, verbose=None)[source]

Get class predictions on new data or rows in the dataset.

New data is first transformed through the model's pipeline. Transformers that are only applied on the training set are skipped. The estimator must have a predict method.

Read more in the user guide.

Parameters	X: int, str, slice, sequence or dataframe-like Names or indices of rows in the dataset, or new feature set with shape=(n_samples, n_features). verbose: int or None, default=None Verbosity level of the output. If None, it uses the transformer's own verbosity.
Returns	pd.Series Predicted classes with shape=(n_samples,).

Example

>>> from atom import ATOMClassifier
>>> from sklearn.datasets import load_breast_cancer

>>> # Load data and separate last 5 rows for predictions
>>> X, y = load_breast_cancer(return_X_y=True, as_frame=True)
>>> X_new, y_new = X.iloc[-5:], y.iloc[-5:]
>>> X, y = X.iloc[:-5], y.iloc[:-5]

>>> atom = ATOMClassifier(data)
>>> atom.run("LR")

>>> # Using new data
>>> atom.predict(X_new)

0    0
1    0
2    0
3    0
4    1
Name: predict, dtype: int32

>>> # Using indices
>>> atom.predict([23, 25])  # Retrieve prediction of rows 23 and 25

23    1
25    1
dtype: int32