public double Predict(double v1, double v2, double v3, double v4, double v5, double v6, double v7, double v8)
{
var result = PythonInstance.Execute(() =>
{
var input = new List <double>(new double[] { v1, v2, v3, v4, v5, v6, v7, v8 });
dynamic np_input = np.array(input);
return(model.predict(np_input.reshape(1, 8)));
});
return(result[0][0]);
}
public ModelOne(string model_path)
{
PythonInstance.Execute(() =>
{
dynamic os = Py.Import("os");
os.environ["TF_CPP_MIN_LOG_LEVEL"] = new PyAnsiString("3");
os.environ["CUDA_VISIBLE_DEVICES"] = new PyAnsiString("-1");
np = Py.Import("numpy");
dynamic keras_models = Py.Import("keras.models");
load_models = keras_models.load_model;
model = load_models(model_path);
});
}
static NumPy()
{
np = PythonInstance.Execute(() => Py.Import("numpy"));
}