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Fixed Pytest warnings for machine_learning/forecasting #8958

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Merged
merged 3 commits into from
Aug 14, 2023
Merged

Fixed Pytest warnings for machine_learning/forecasting #8958

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cbb5c74
updating DIRECTORY.md
Aug 14, 2023
44e3248
Merge branch 'TheAlgorithms:master' into master
p1utoze Aug 14, 2023
1d55679
Fixed pyTest Warnings
p1utoze Aug 14, 2023
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1 change: 1 addition & 0 deletions DIRECTORY.md
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Original file line number Diff line number Diff line change
Expand Up @@ -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)

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6 changes: 5 additions & 1 deletion machine_learning/forecasting/run.py
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Expand Up @@ -11,6 +11,8 @@
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
Expand Down Expand Up @@ -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
)
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