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Fixed Pytest warnings for machine_learning/forecasting (#8958)

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* updating DIRECTORY.md

* Fixed pyTest Warnings

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Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
This commit is contained in:
Adithya Awati 2023-08-14 14:04:16 +05:30 committed by GitHub
parent 4b7ecb6a81
commit ac68dc1128
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2 changed files with 6 additions and 1 deletions
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1
DIRECTORY.md
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@ -340,6 +340,7 @@
* [Rod Cutting](dynamic_programming/rod_cutting.py)
* [Subset Generation](dynamic_programming/subset_generation.py)
* [Sum Of Subset](dynamic_programming/sum_of_subset.py)
* [Tribonacci](dynamic_programming/tribonacci.py)
* [Viterbi](dynamic_programming/viterbi.py)
* [Word Break](dynamic_programming/word_break.py)

6
machine_learning/forecasting/run.py
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@ -11,6 +11,8 @@ missing (the amount of data that u expected are not supposed to be)
u can just adjust it for ur own purpose
"""
from warnings import simplefilter
import numpy as np
import pandas as pd
from sklearn.preprocessing import Normalizer
@ -45,8 +47,10 @@ def sarimax_predictor(train_user: list, train_match: list, test_match: list) ->
>>> sarimax_predictor([4,2,6,8], [3,1,2,4], [2])
6.6666671111109626
"""
# Suppress the User Warning raised by SARIMAX due to insufficient observations
simplefilter("ignore", UserWarning)
order = (1, 2, 1)
seasonal_order = (1, 1, 0, 7)
seasonal_order = (1, 1, 1, 7)
model = SARIMAX(
train_user, exog=train_match, order=order, seasonal_order=seasonal_order
)