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NEWS.md
In TRMF: Temporally Regularized Matrix Factorization
NEWS
TRMF 0.1.5
Enhancements
- Added retrain() function to allow for warm starts and restarts.
- Setting numit = 0 in train() now initializes the computation, but doesn't do any iterations
Bug fixes
- Fixed a bug where weights for regression with factorization were incorrectly included in the calculation.
TRMF 0.1.2
Enhancements
-
Updated some of the internal linear algebra for 2-5x speedup
-
TRMF_summary now prints a weighted R2 for weighted data.
Bug fixes
-
Fixed a bug in the component function which only returned the Xm component.
-
Fixed a bug in NormalizeMatrix which returns NA's in some cases.
Changes
- Renamed TRMF_coefficients() to TRMF_columns() to make less confusing. TRMF_coefficients() will be deprecated future releases.
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TRMF documentation built on Aug. 16, 2021, 5:06 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
NEWS
TRMF 0.1.5
Enhancements
- Added retrain() function to allow for warm starts and restarts.
- Setting numit = 0 in train() now initializes the computation, but doesn't do any iterations
Bug fixes
- Fixed a bug where weights for regression with factorization were incorrectly included in the calculation.
TRMF 0.1.2
Enhancements
-
Updated some of the internal linear algebra for 2-5x speedup
-
TRMF_summary now prints a weighted R2 for weighted data.
Bug fixes
-
Fixed a bug in the component function which only returned the Xm component.
-
Fixed a bug in NormalizeMatrix which returns NA's in some cases.
Changes
- Renamed TRMF_coefficients() to TRMF_columns() to make less confusing. TRMF_coefficients() will be deprecated future releases.
Try the TRMF package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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