Suggested Name
Regression
Task Description
A general regression problem with both numeric and categorical features. The input is tabular data.
The regression target is a single value for each input data which is a row in the table.
Evaluation Metrics
Mean Square Error
Benchmark Datasets
NA
Reason
There are a lot of regression problems in machine learning
Solution
NA
Additional Context
NA
michelleowen
All 6 comments
130 Thanks for the request. I'm currently working on these two issues.
qingquansong
on 6 Nov 2018
This issue is solved. Please see the code in the examples directory.
haifeng-jin
on 5 Jan 2019
Does this rely on lightgbm only or cover DL architectures as well?
Chowkah
on 19 Mar 2019
I can not find the GeneralRegressor in the documentation, or in the code examples
theUniverseofData
on 24 Apr 2019
can't find this either, seems to be issues with GeneralRegressor, TabularClassifier etc. but nothing in the codebase or docs.
joseph-allen
on 23 May 2019
can't find this either, seems to be issues with GeneralRegressor, TabularClassifier etc. but nothing in the codebase or docs.
I can not find the GeneralRegressor in the documentation, or in the code examples
AutoKeras Tabular was removed, reason for this is explained in #562
Thankfully @bolkedebruin created a package (https://pypi.org/project/autokeras-tabular/) containing the missing functionality.
JacobZuliani
on 5 Jun 2019
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Most helpful comment
I can not find the GeneralRegressor in the documentation, or in the code examples