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antoinecarme
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pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
BSD 3-Clause "New" or "Revised" License
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Investigate probabilistic forecasting
#140
antoinecarme
closed
3 years ago
6
Updated Changelog.md
#139
antoinecarme
closed
4 years ago
0
Hour of week
#138
antoinecarme
closed
4 years ago
0
Analyze Business Seasonals (WeekOfMonth and derivatives)
#137
antoinecarme
closed
4 years ago
3
Add PyAF Options in the JSON output
#136
antoinecarme
closed
4 years ago
1
Print Cycle and Seasonal Details in the logs
#135
antoinecarme
closed
4 years ago
1
Print Trend Details in the logs
#134
antoinecarme
closed
4 years ago
1
Print Signal Transformation Details in the logs
#133
antoinecarme
closed
4 years ago
1
Allow Using Target Median Encoding for Cycles and Seasonals
#132
antoinecarme
closed
4 years ago
1
Analyze Business Seasonals (HourOfWeek and derivatives)
#131
antoinecarme
closed
4 years ago
4
Temporal hierarchy
#130
antoinecarme
closed
4 years ago
0
Heroku deploy2
#129
antoinecarme
closed
4 years ago
0
Ts sampling
#128
antoinecarme
closed
4 years ago
0
Add temporal hierarchical forecasting
#127
antoinecarme
closed
4 years ago
11
Properly handle very large signals. Add Sampling
#126
antoinecarme
closed
4 years ago
2
Profiling session before 2 0 release round 2
#125
antoinecarme
closed
4 years ago
1
Allow using exogenous data in hierarchical forecasting models
#124
antoinecarme
closed
4 years ago
5
No module named 'pyaf.HierarchicalForecastEngine'
#123
geniusnhu
closed
4 years ago
16
Time column normalization issue 121
#122
antoinecarme
closed
4 years ago
0
Time column is normalized frequently leading to a performance issue
#121
antoinecarme
closed
4 years ago
6
Pypi installer
#120
antoinecarme
closed
4 years ago
0
Add a Pypi version
#119
firmai
closed
4 years ago
9
Trending Data Issue and Small Anomalous Period affecting Moving Average
#118
pcfierro
closed
4 years ago
8
Some package dependencies are optional
#117
antoinecarme
closed
4 years ago
1
Hierarchical Forecast Error when using models other than 'NoAR'
#116
vrduddu
closed
4 years ago
2
Add some tests in a Massively Parallel Forecasting Architecture
#115
antoinecarme
closed
4 years ago
3
ModuleNotFoundError: No module named 'multiprocess'
#114
maki-markie
closed
4 years ago
48
FileNotFoundError: [WinError 2] "dot" not found in path.
#113
vhphan
closed
4 years ago
2
Top Down Forecasts for 2 or 3 level Hierarchical Dataset
#112
GregCrysler
closed
5 years ago
5
Zero division error - cannot figure out source.
#111
andmib
closed
5 years ago
24
Issues running PyAF
#110
anuliketat
closed
5 years ago
5
How to forecast future values using Croston Method?
#109
KathyGCY
closed
5 years ago
5
Add Croston Method #97
#108
antoinecarme
closed
5 years ago
0
Double check exogenous data
#107
antoinecarme
closed
5 years ago
0
Double check exogenous data implementation
#106
antoinecarme
closed
5 years ago
9
Add the possibility to use cross validation when training PyAF models
#105
antoinecarme
closed
5 years ago
10
Ts cross val
#104
antoinecarme
closed
5 years ago
0
Ts cross val
#103
antoinecarme
closed
5 years ago
0
Add XGBoost based models #98
#102
antoinecarme
closed
5 years ago
0
Pyaf xgboost
#101
antoinecarme
closed
5 years ago
0
Pyaf xgboost
#100
antoinecarme
closed
5 years ago
0
Pyaf xgboost
#99
antoinecarme
closed
5 years ago
0
Add XGBoost based models
#98
antoinecarme
closed
5 years ago
5
Add Croston Method
#97
antoinecarme
closed
5 years ago
6
Get rid of DateOffset string differences
#96
antoinecarme
closed
6 years ago
0
Realign two dataframes layouts to avoid pandas warnings
#95
antoinecarme
closed
6 years ago
1
Warning Hunt : Matplotlib wanings in travis-ci reports
#94
antoinecarme
closed
6 years ago
4
Warning Hunt : Pandas warning in travis-ci reports
#93
antoinecarme
closed
6 years ago
1
Make package directory and simplify package setup
#92
jmabry
closed
5 years ago
1
[Bug] Editable Install Doesn't Work
#91
jmabry
closed
4 years ago
6
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