__read_data__中
training_values = np.array(
[v[~np.isnan(v)] for v in
dataset.values[dataset.groups == self.seasonal_patterns]]) # split different frequencies
修改为
training_values = np.array(
[v[~np.isnan(v)] for v in
dataset.values[dataset.groups == self.seasonal_patterns]],dtype=object) # split different frequencies
,因为数据长度不一样
__read_data__中
training_values = np.array(
[v[~np.isnan(v)] for v in
dataset.values[dataset.groups == self.seasonal_patterns]]) # split different frequencies
修改为
training_values = np.array(
[v[~np.isnan(v)] for v in
dataset.values[dataset.groups == self.seasonal_patterns]],dtype=object) # split different frequencies
,因为数据长度不一样