data_medium: Benchmarks for medium task
In jolars/gsoc18saga: Test results for SAGA project in GSoC 2018
Description
A benchmark of L2-regularized logistic regression in the
bigoptim and glmnet packages based on subsets of the
covtype dataset.
Usage
1
Format
A data frame with 800 rows and 5 variables:
- rows
number of rows in data
- cols
number of columns in data
- time
time in nanoseconds
- loss
value of objective function
- package
package
jolars/gsoc18saga documentation built on May 25, 2019, 6:24 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
A benchmark of L2-regularized logistic regression in the bigoptim and glmnet packages based on subsets of the covtype dataset.
Usage
1 |
Format
A data frame with 800 rows and 5 variables:
- rows
number of rows in data
- cols
number of columns in data
- time
time in nanoseconds
- loss
value of objective function
- package
package
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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