tss_model: Build TSS Model
In rpolicastro/deepTSSscrubbeR: What the Package Does (One Line, Title Case)
Description
Build model of TSS Confidence
Usage
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tss_model(
deep_obj,
model_type = "status",
optimizer = "adam",
metric = "default"
)
Arguments
deep_obj
deep_tss object
model_type
Whether to model 'status' or 'score'
optimizer
Optimizer for compiling model
metric
Metric to optimize model.
Defaults are "accuracy" for classification, and "mean_absolute_error"
for score regression
rpolicastro/deepTSSscrubbeR documentation built on March 20, 2020, 5:38 a.m.
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Description
Build model of TSS Confidence
Usage
1 2 3 4 5 6 | tss_model(
deep_obj,
model_type = "status",
optimizer = "adam",
metric = "default"
)
|
Arguments
deep_obj |
deep_tss object |
model_type |
Whether to model 'status' or 'score' |
optimizer |
Optimizer for compiling model |
metric |
Metric to optimize model. Defaults are "accuracy" for classification, and "mean_absolute_error" for score regression |
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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