RegMetrics: Regression Metrics
In PauloCirino/MLAT: Machine Learning Automated Software
Description
Usage
Arguments
Value
Examples
Description
Returns a regResultList with regression metrics.
Usage
1
RegMetrics(Y, Y_hat, MetricsNames)
Arguments
Y
Ground truth numeric vector.
Y_hat
Predicted values numeric vector.
MetricsNames
Metrics names, avilable can be found with RegressionMetricsNames() .
Value
A regResultList with results
Examples
1
2
3
Y = runif(100)
Y_hat = Y + 0.5*runif(100)
RegMetrics(Y = Y, Y_hat = Y_hat, MetricsNames = RegressionMetricsNames())
PauloCirino/MLAT documentation built on May 13, 2019, 1:22 p.m.
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Description Usage Arguments Value Examples
Description
Returns a regResultList with regression metrics.
Usage
1 | RegMetrics(Y, Y_hat, MetricsNames)
|
Arguments
Y |
Ground truth numeric vector. |
Y_hat |
Predicted values numeric vector. |
MetricsNames |
Metrics names, avilable can be found with RegressionMetricsNames() . |
Value
A regResultList with results
Examples
1 2 3 | Y = runif(100)
Y_hat = Y + 0.5*runif(100)
RegMetrics(Y = Y, Y_hat = Y_hat, MetricsNames = RegressionMetricsNames())
|
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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