check_tensorflow: Check if tensorflow is properly installed
In xavierkamp/tsForecastR: Forecasting with Traditional Time Series and Machine Learning Models
Description
Usage
Arguments
Value
Description
This function ensures that the user has Python and Tensorflow (version <= 1.14) installed.
If these criteria are violated, then the user cannot use the 'lstm_keras' model.
Usage
1
check_tensorflow(model_names)
Arguments
model_names
A list or vector of strings representing the model names to be used
Value
model_names: vector of strings the input model_names without 'lstm_keras' depending on that algorithms prerequisites.
xavierkamp/tsForecastR documentation built on Feb. 1, 2020, 10:16 a.m.
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Description Usage Arguments Value
Description
This function ensures that the user has Python and Tensorflow (version <= 1.14) installed. If these criteria are violated, then the user cannot use the 'lstm_keras' model.
Usage
1 | check_tensorflow(model_names)
|
Arguments
model_names |
A list or vector of strings representing the model names to be used |
Value
model_names: vector of strings the input model_names without 'lstm_keras' depending on that algorithms prerequisites.
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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