tgsmith61591

# -*- coding: utf-8 -*-
#
# Download a file from the web using requests with a nice progress bar.

from __future__ import print_function

from tqdm import tqdm

import requests
import warnings

tgsmith61591

# -*- coding: utf-8 -*-
#
# Author: Taylor G Smith
#
# More scratch code in my collection of random recommender
# system utilities. Someday I'll get around to building
# an actual repository... in the meantime, here are some
# train/test split utilities for collaborative filtering
# with sparse matrices.

tgsmith61591

# -*- coding: utf-8 -*-
#
# Author: Taylor G Smith
#
# Recommender system ranking metrics derived from Spark source for use with
# Python-based recommender libraries (i.e., implicit, 
# http://github.com/benfred/implicit/). These metrics are derived from the
# original Spark Scala source code for recommender metrics.
# https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RankingMetrics.scala

tgsmith61591

# -*- coding: utf-8 -*-
#
# Author: Taylor Smith
#
# This function provides an interface for splitting a sparse ratings
# matrix RDD into a train and test set for use in collaborative
# filtering in PySpark applications.
#
# Dependencies:
#   * scikit-learn >= 0.18