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nsenno-dbr
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many-model-forecasting
Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.
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Document requirements for Monthly forecasting
#13
nsenno-dbr
opened
1 month ago
0
Add checks for table validity before running forecast
#12
nsenno-dbr
opened
1 month ago
0
Consider leaving evaluation table long without array types
#11
nsenno-dbr
opened
1 month ago
0
Check dependencies of Numba
#10
nsenno-dbr
opened
1 month ago
0
TroubleShoot AutoRNN
#9
nsenno-dbr
opened
1 month ago
0
There is no easy way to to a forecast of 365 days with 12 months backtesting
#8
nsenno-dbr
opened
1 month ago
1
Consider making registering to model registry configurable
#7
nsenno-dbr
opened
1 month ago
1
Leverage ray for hyper parameter tuning
#6
nsenno-dbr
opened
1 month ago
1
Leverage Ray for backtesting
#5
nsenno-dbr
opened
1 month ago
2
Explain the difference between scoring end evaluation
#4
nsenno-dbr
opened
1 month ago
0
check that folder is created for experiment in examples
#3
nsenno-dbr
opened
2 months ago
0
If train_data is a Spark DataFrame, score_data should also be a dataframe for Forecaster
#2
nsenno-dbr
opened
2 months ago
0
Add type check for input data
#1
nsenno-dbr
opened
2 months ago
0