datacanvasio/hyperts

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

hyperts's Issues

Preprocessing - StandardScaler

How to save model and load model?

Data cleaning - drop missing covariate columns

Data cleaning - drop constant covariate columns

test_size error

Hi! I have an error in training a TS forecast model, it says:
ValueError: test_size=270 should be either positive and smaller than the number of samples 270 or a float in the (0, 1) range.
This is my data shape：

Can you help me solve this problem? Thank you！

Statistical model - VAR

Evaluation - Holdout cross-validation

Does this package support time series forecasting of intermittent or block demand?

Does this package support time series forecasting of intermittent or block demand?

Temporal segmentation

Preprocessing - Log(x+1)

Training on multiple timeseries

Hello,

First of all I would like to thank you for this excellent framework.

A question, some in-built networks like DeepAR are able to be trained multiple times on multiple timeseries. Is this currently possible with HyperTS, and if so, how would you do it? We have a collection of dozens of timeseries, with covariates that behave in a similar way, and our model would benefit greatly from being trained on all of them.

Evaluation - make performance metrics

DL model - RNN/GRU/LSTM

Statistical model - Prophet

Preprocessing - TimeSeries

why not ensemble learning(like xgboost) in ts forecast?

Evaluation - draw prediction curve

Support for extracting meta features from time series forecasting tasks.

Support NBeats model for forecasting task.

AttributeError: 'TSPipeline' object has no attribute 'get_params'

Why？

Data cleaning - drop covariate 'ID'

implement tstoolbox

Support forecasting data without timestamp column.

ModuleNotFoundError: No module named 'woodwork.serialize'

When executing the code : ‘from hyperts.datasets import load_network_traffic’, meet above error even after installing woodwork (' pip install woodwork')

Support dynamic down sampling (in search space) for forecasting task.

Runing HyperTS-stats, gets: ValueError: In models with integration (`d > 0`) or seasonal integration (`D > 0`)

'In models with integration (d > 0) or seasonal'
ValueError: In models with integration (d > 0) or seasonal integration (D > 0), trend terms of lower order than d + D cannot be (as they would be eliminated due to the differencing operation). For example, a constant cannot be included in an ARIMA(1, 1, 1) model, but including a linear trend, which would have the same effect as fitting a constant to the differenced data, is allowed.

AttributeError: 'VARResults' object has no attribute 'y'

Preprocessing - missing data imputation

how to use mode 'dl'?

The code I use is as follows：

An error is as follows：
08-04 10:57:12 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 1 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'HybirdRNNWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 677, in _build_estimator
rnn = HybirdRNNWrapper(fit_kwargs, **kwargs)
NameError: name 'HybirdRNNWrapper' is not defined

---

08-04 10:57:13 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 2 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'HybirdRNNWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 677, in _build_estimator
rnn = HybirdRNNWrapper(fit_kwargs, **kwargs)
NameError: name 'HybirdRNNWrapper' is not defined

---

08-04 10:57:13 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 3 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'NBeatsWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 1030, in _build_estimator
nbeats = NBeatsWrapper(fit_kwargs, **kwargs)
NameError: name 'NBeatsWrapper' is not defined

---

08-04 10:57:14 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 4 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'LSTNetWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 866, in _build_estimator
lstnet = LSTNetWrapper(fit_kwargs, **kwargs)
NameError: name 'LSTNetWrapper' is not defined

---

08-04 10:57:14 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 5 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'NBeatsWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 1030, in _build_estimator
nbeats = NBeatsWrapper(fit_kwargs, **kwargs)
NameError: name 'NBeatsWrapper' is not defined

---

08-04 10:57:15 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 6 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'HybirdRNNWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 677, in _build_estimator
rnn = HybirdRNNWrapper(fit_kwargs, **kwargs)
NameError: name 'HybirdRNNWrapper' is not defined

---

08-04 10:57:16 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 7 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'DeepARWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 518, in _build_estimator
deepar = DeepARWrapper(fit_kwargs, **kwargs)
NameError: name 'DeepARWrapper' is not defined

---

08-04 10:57:16 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 8 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'DeepARWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 518, in _build_estimator
deepar = DeepARWrapper(fit_kwargs, **kwargs)
NameError: name 'DeepARWrapper' is not defined

---

08-04 10:57:17 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 9 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'LSTNetWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 866, in _build_estimator
lstnet = LSTNetWrapper(fit_kwargs, **kwargs)
NameError: name 'LSTNetWrapper' is not defined

---

08-04 10:57:17 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 10 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'DeepARWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 518, in _build_estimator
deepar = DeepARWrapper(fit_kwargs, **kwargs)
NameError: name 'DeepARWrapper' is not defined

---

08-04 10:57:18 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 11 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'DeepARWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 518, in _build_estimator
deepar = DeepARWrapper(fit_kwargs, **kwargs)
NameError: name 'DeepARWrapper' is not defined

---

08-04 10:57:18 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 12 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'DeepARWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 518, in _build_estimator
deepar = DeepARWrapper(fit_kwargs, **kwargs)
NameError: name 'DeepARWrapper' is not defined

---

08-04 10:57:19 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 13 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'HybirdRNNWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 677, in _build_estimator
rnn = HybirdRNNWrapper(fit_kwargs, **kwargs)
NameError: name 'HybirdRNNWrapper' is not defined

---

08-04 10:57:20 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 14 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'NBeatsWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 1030, in _build_estimator
nbeats = NBeatsWrapper(fit_kwargs, **kwargs)
NameError: name 'NBeatsWrapper' is not defined

---

08-04 10:57:20 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 15 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'LSTNetWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 866, in _build_estimator
lstnet = LSTNetWrapper(fit_kwargs, **kwargs)
NameError: name 'LSTNetWrapper' is not defined

---

08-04 10:57:21 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 16 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'LSTNetWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 866, in _build_estimator
lstnet = LSTNetWrapper(fit_kwargs, **kwargs)
NameError: name 'LSTNetWrapper' is not defined

---

08-04 10:57:21 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 17 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'DeepARWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 518, in _build_estimator
deepar = DeepARWrapper(fit_kwargs, **kwargs)
NameError: name 'DeepARWrapper' is not defined

---

08-04 10:57:22 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 18 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'NBeatsWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 1030, in _build_estimator
nbeats = NBeatsWrapper(fit_kwargs, **kwargs)
NameError: name 'NBeatsWrapper' is not defined

---

08-04 10:57:23 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 19 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'DeepARWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 518, in _build_estimator
deepar = DeepARWrapper(fit_kwargs, **kwargs)
NameError: name 'DeepARWrapper' is not defined

---

08-04 10:57:23 E hypernets.d.in_process_dispatcher.py 90 - >>>>>>>>>>>>>>>>>>>> Trial 20 failed! <<<<<<<<<<<<<<<<<<<<
NameError: name 'LSTNetWrapper' is not defined
Traceback (most recent call last):
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\dispatchers\in_process_dispatcher.py", line 62, in dispatch
trial = hyper_model._run_trial(space_sample, trial_no, X, y, X_eval, y_eval, cv, num_folds, model_file,
File "F:\anaconda\envs\hyperts\lib\site-packages\hypernets\model\hyper_model.py", line 49, in _run_trial
estimator = self._get_estimator(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 469, in _get_estimator
estimator = HyperTSEstimator(task=self.task,
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 58, in init
self._build_model(space_sample)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\hyper_ts.py", line 67, in _build_model
outputs[0].build_estimator(self.task)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 42, in build_estimator
self.estimator = self._build_estimator(task, self.fit_kwargs, pv)
File "F:\anaconda\envs\hyperts\lib\site-packages\hyperts\framework\estimators.py", line 866, in _build_estimator
lstnet = LSTNetWrapper(fit_kwargs, **kwargs)
NameError: name 'LSTNetWrapper' is not defined

---

Support Ensemble.

Data cleaning - data type correction

DL model - LSTNet

Error found: Library not loaded: /usr/local/opt/libomp/lib/libomp.dylib

Above error is shown with environment MAC OS Monterey 12.2

Support InceptionTime model for classification task.

NotImplementedError: Cannot convert a symbolic Tensor (lstm_2/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported

NotImplementedError: Cannot convert a symbolic Tensor (lstm_2/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported

In models with integration (`d > 0`) or seasonal integration (`D > 0`), trend terms of lower order than `d + D` cannot be

Task type: forecast
Covariate columns: 9 columns
Prediction column: 1 column

I am getting the following error when using HyperTS:
search: 0%| | 0/3 [00:00<?, ?it/s]04-06 15:27:10 E hypernets.m.hyper_model.py 71 - run_trail failed! trail_no=1
04-06 15:27:10 E hypernets.m.hyper_model.py 73 - Traceback (most recent call last):
File "/root/miniconda3/envs/hyperTS/lib/python3.8/site-packages/hypernets/model/hyper_model.py", line 66, in _run_trial
estimator.fit(X, y, **fit_kwargs)
File "/root/miniconda3/envs/hyperTS/lib/python3.8/site-packages/hyperts/hyper_ts.py", line 118, in fit
self.model.fit(X_transformed, y, **kwargs)
File "/root/miniconda3/envs/hyperTS/lib/python3.8/site-packages/hyperts/framework/wrappers/stats_wrappers.py", line 80, in fit
model = ARIMA(endog=y, order=(p, d, q), trend=trend,
File "/root/miniconda3/envs/hyperTS/lib/python3.8/site-packages/statsmodels/tsa/arima/model.py", line 146, in init
raise ValueError(
ValueError: In models with integration (d > 0) or seasonal integration (D > 0), trend terms of lower order than d + D cannot be (as they would be eliminated due to the differencing operation). For example, a constant cannot be included in an ARIMA(1, 1, 1) model, but including a linear trend, which would have the same effect as fitting a constant to the differenced data, is allowed.

search: 33%|███▎ | 1/3 [00:00<00:00, 3.02it/s]INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.
INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.
search: 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it]INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.
INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.

Preprocessing - outliers filtering

What dose Space Searching and Final Training do?

Hello,First of all I would like to thank you for this excellent framework.
I get a question :
Can I just train the model once and skip the Space Searching ?

Preprocessing - OrdinalEncoder

Preprocessing - MinMaxScaler

Data cleaning - deduplication

Unit testing

Time covariates generation

Preprocessing - LabelEncoder

Statistical model - ARIMA

API Document

Dear authors, pretty thankful for this work. I read the document, but didnt find the API doc. Could you provide that, since I can only figure out the parameters and return type by searching the source code.
Best wishes

support 'Experiment'

DL model - DeepAR

Time Series Cross-Validation

Data cleaning - drop empty entries