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34 Open 15 Closed
34 Open 15 Closed
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Issues list

very slow on freq='D' or 365
#63 opened Sep 1, 2023 by ahmad-shahi
8
deprecation warning of numpy.matrix
#53 opened May 24, 2021 by tianke2020
R and Python different results
#49 opened Jan 4, 2021 by SmitRohan
Hello world example mentioned getFilteredObs which seems not to exist anymore
#48 opened Jan 2, 2021 by microprediction
DeprecationWarning in pydlm/modeler/dynamic.py
#47 opened Dec 15, 2020 by tianke2020
1
longSeason nonworking?
#44 opened Jun 23, 2020 by mschmill
2
Shouldn't plotPredictN start plotting at date+1 ?
#42 opened Mar 29, 2020 by peterih
Features normalization
#41 opened Mar 13, 2020 by kpapdac
No predictions returned with Binary data
#40 opened Feb 20, 2020 by logisticregress
Serializing the model
#39 opened Jan 9, 2020 by aschmu
forecast with regressors
#38 opened Sep 10, 2019 by tyokota
4
Appending new data with AutoReg component
#37 opened Aug 5, 2019 by thk3421-models
3
Data used in plotCoef
#36 opened Nov 15, 2018 by kreamas
1
Spike and Slab Prior
#35 opened Sep 12, 2018 by manujosephv
Get Separate components for PredictN
#34 opened Sep 7, 2018 by devm2024
Support for dynamic factor models
#33 opened Sep 2, 2018 by yangyang2000
How to use pydlm trained model from a dataset on a new test dataset
#32 opened Aug 20, 2018 by XinLi1202
Time complexity (execution time)
#31 opened Jul 29, 2018 by buhbuhtig
6
Splitting fitting/prediction and plotting?
#28 opened May 27, 2018 by dtolpin
Differences between version 0.1.1.7 and 0.1.1.9
#26 opened Dec 17, 2017 by ghost
2
dlm object growth and storage of past values
#25 opened Dec 5, 2017 by albertotb
Different results pydlm vs dlm package (in R)
#24 opened Nov 29, 2017 by roinaveiro
1
predictN modifies dlm object
#23 opened Nov 27, 2017 by albertotb
2
create a model by specifying evaluation matrix, transition matrix and the corresponding covariance
#19 opened Sep 8, 2017 by ALiaoSha
How to set biweekly frequency in seasonal parameter?
#18 opened Sep 6, 2017 by ghost
2
ProTip! Follow long discussions with comments:>50.