Which scoring function should I use?: Before we take a closer look into the details of the many scores and evaluation metrics, we want to give some guidance, inspired by statistical decision theory...| scikit-learn
Hyper-parameters are parameters that are not directly learnt within estimators. In scikit-learn they are passed as arguments to the constructor of the estimator classes. Typical examples include C,...| scikit-learn
Learning the parameters of a prediction function and testing it on the same data is a methodological mistake: a model that would just repeat the labels of the samples that it has just seen would ha...| scikit-learn
Create a memory-map to an array stored in a binary file on disk.| numpy.org
Two-dimensional, size-mutable, potentially heterogeneous tabular data.| pandas.pydata.org
Source code: Lib/warnings.py Warning messages are typically issued in situations where it is useful to alert the user of some condition in a program, where that condition (normally) doesn’t warrant...| Python documentation
One-dimensional ndarray with axis labels (including time series).| pandas.pydata.org
Sections#| numpydoc.readthedocs.io