From a080b40e2589737f60ac7da1306bca9e21b730cb Mon Sep 17 00:00:00 2001 From: Chetan Pandey Date: Thu, 8 Dec 2022 14:11:31 +0530 Subject: [PATCH] input to input_ in python quickstart --- COPYRIGHT.txt | 1 + doc/quickstart/python.md | 4 ++-- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/COPYRIGHT.txt b/COPYRIGHT.txt index d14e85932d..4cec03a865 100644 --- a/COPYRIGHT.txt +++ b/COPYRIGHT.txt @@ -150,6 +150,7 @@ Copyright: Copyright 2022, Sri Madhan M Copyright 2022, Zhuojin Liu Copyright 2022, Richèl Bilderbeek + Copyright 2022, Chetan Pandey License: BSD-3-clause All rights reserved. diff --git a/doc/quickstart/python.md b/doc/quickstart/python.md index e3f66938b4..fe0cc67621 100644 --- a/doc/quickstart/python.md +++ b/doc/quickstart/python.md @@ -54,7 +54,7 @@ dataset = df.drop('label', 1) # Split the dataset using mlpack. The output comes back as a dictionary, # which we'll unpack for clarity of code. -output = mlpack.preprocess_split(input=dataset, +output = mlpack.preprocess_split(input_=dataset, input_labels=labels, test_ratio=0.3) training_set = output['training'] @@ -110,7 +110,7 @@ ratings = pd.read_csv('http://www.mlpack.org/datasets/ml-20m/ratings-only.csv.gz movies = pd.read_csv('http://www.mlpack.org/datasets/ml-20m/movies.csv.gz') # Hold out 10% of the dataset into a test set so we can evaluate performance. -output = mlpack.preprocess_split(input=ratings, test_ratio=0.1, verbose=True) +output = mlpack.preprocess_split(input_=ratings, test_ratio=0.1, verbose=True) ratings_train = output['training'] ratings_test = output['test']