Get bookkeeper data and convert to probabilities for vertical aggregation.

Gets fifa data for all matches.

Derives a label for a given match.

Loads airline data The dataset consists of a large amount of records, containing flight arrival and departure details for all the commercial

Loads BCI data Contains measurements from 64 EEG sensors on the scalp of a single participant. The purpose of the recording is to determine

Loads football data Dataset of football stats. +25,000 matches, +10,000 players from 11 European Countries with their lead championship Seaso

Loads the credit card fraud data The datasets contains transactions made by credit cards in September 2013 by european cardholders. This dat

Loads HIGGS data Dataset of atomic particles measurements. The total size of the data is 11 millions of observations. It can be used in

Loads iot data Sensor stream contains information (temperature, humidity, light, and sensor voltage) collected from 54 sensors deployed in I

Loads Planet Kaggle data Dataset of satellite images of the Amazon. The objective of this dataset is to label satellite image chips wit

Normalized Discounted Cumulative Gain (nDCG). Info: https://en.wikipedia.org/wiki/Discounted_cumulative_gain Args: y_true (list or arr

Normalized Exponential Discounted Cumulative Gain (neDCG). Info: https://en.wikipedia.org/wiki/Discounted_cumulative_gain Args: y_true

Capture current time before we execute the current command

Precision at K. Args: y_true (list or array): True values. y_pred (list or array): Predicted values. k (int): Limit of pre

Recall at K. Args: y_true (list or array): True values. y_pred (list or array): Predicted values. k (int): Limit of predic

Returns a report with different metrics for a regression problem. - Mean Squared Error: MSE is a risk metric corresponding to the expected value o

Register memory profiling tools to IPython instance.

Unregister memory profiling tools from IPython instance.