Merge nested main (#597)

* MVP for Indian Stocks in qlib using yahooquery

* cleaned with black

* cleaned with black

* add YahooNormalizeIN and YahooNormalizeIN1d

* cleaned the code

* added 1min for IN and also updated readme

* update comments

* fix comments

* recorder support upload both raw file and directory

* fix comments

* Update README.md

* Fix docs of QlibRecorder

* sort index after loader (#538)

make sure the fetch method is based on a index-sorted pd.DataFrame

* refactor online serving rolling api

* refactor TRA

* format by black

* fix horizon

* fix TRA when use single head

* clean up

* improve pretrain

* update README

* fix tra when logdir is None

* fix tra when logdir is None

* Update strategy.py

* Update README.md

* Update README.md

* Conda Suggestion

* code standard docs

* Update ensemble.py (#560)

* Fix CI  Bug (#575)


Co-authored-by: yuxwang <anduinnn@foxmail.com>

* Update gen.py (#576)

* Fix multi-process loop calls (#574)

* check lexsort in the 'lazy_sort_index' function (#566)

* check lexsort

* check lexsort

* lexsort comment

* lexsort comment

* Delete .DS_Store

* Update README.md

* bug fix & use oracle transport pretrain

* mend

* Add `backend_freq_config` parameter, support multi-freq uri

* Add sample_config to QlibDataLoader, support multi-freq

* add multi-freq example

* get_cls_kwargs renamed get_callable_kwargs

* support multi-freq uri

* Add inst_processors to D.features

* Fix typo

* Fix the index type of the multi-freq example

* Fix duplicate mlflow directories in tests

* Add DataPathManager to QlibConfig && modify inst_processors to supports list only

* Modify the default value in the multi_freq example

* Modify client-server mode and dataset-cache to disable inst_processor

* Add wheel package to github CI

* fix comment

* Update FAQ.rst

* Update README.md

Fix wrong link

* Update the docs of TaskManager (#586)

* Update manage.py

* update yaml

* update run_all_model

* Modify the Feature to be case sensitive (#589)

* update README

* remove verbose

* fix spell bug

* fix typos (#592)

* Update Release Note

* fix portfolio bug

* Add calendar support for resample

* add freq kwargs

* test.yml: Remove redundant code (#595)

* Supporting shared processor (#596)

* Supporting shared processor

* fix readonly reverse bug

* remove pytests dependency

* with fit bug

* fix parameter error

* fix comments

* Fix undefined names in Python code (#599)

* Update pytorch_tabnet.py

$ `flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics`
```
./qlib/qlib/contrib/model/pytorch_tabnet.py:567:38: F821 undefined name 'inp'
            self.independ.append(GLU(inp, out_dim, vbs=vbs))
                                     ^
./qlib/examples/model_rolling/task_manager_rolling.py:75:18: F821 undefined name 'task_train'
        run_task(task_train, self.task_pool, experiment_name=self.experiment_name)
                 ^
2     F821 undefined name 'task_train'
2
```

* Fix undefined names in Python code

* from qlib.model.trainer import task_train

* update seed

* fix some docstring

* add comments

* Fix SimpleDatasetCache

* Update setup.py

updated classifiers

* Update setup.py

change to matplotlib==3.3

* Update python-publish.yml

added python 3.9

* updategrade version number

* Update model list

* fix the type of filter_pipe

* fix comment

* fix record_temp

* update cvxpy version

* Update code_standard.rst (#587)

* Update code_standard.rst

* Update docs/developer/code_standard.rst

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

* Add file lock for MLflowExpManager (#619)

* fix torch version

* Share version number (#620)

* Update initialization.rst (#622)

* Update initialization.rst

* Update docs/start/initialization.rst

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

* Update docs/start/initialization.rst

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

* fix bugs for running previous exmaple

* fix deal amount bug

* update change doc (#623)

* Add files via upload

* Update README.md

* Update README.md

* Update README.md

* Delete change doc.gif

* Add files via upload

* Update README.md

* Delete change doc.gif

* Add files via upload

* Delete change doc.gif

* Add files via upload

* Update README.md

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

* update doc

* simplify run all model

* fix run all model bug

* Fix Models (#483)

* fix gat dataset

* fix tft model

* Update tft.py

* Fix tft.py

Co-authored-by: Pengrong Zhu <zhu.pengrong@foxmail.com>

* type and skip empty exp

* fix model yaml config

* fix tft import bug

* skip empty result

* fix model and yaml bug

* fix wrong generate parameter

* Modify multi-freq example (#626)

* modify the example of multi-freq

* add Copyright

* add a comment to average_ops.py

* modify the example of multi-freq

* add comment to multi_freq_handler.py

* add the Ref expression description to multi_freq_handler.py

* add expression description to multi_freq_handler.py

* update images

* fix workflow and update framework

Co-authored-by: Gaurav <2796gaurav@gmail.com>
Co-authored-by: 2796gaurav <17353992+2796gaurav@users.noreply.github.com>
Co-authored-by: bxdd <bxd98@126.com>
Co-authored-by: Young <afe.young@gmail.com>
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Co-authored-by: Dong Zhou <Zhou.Dong@microsoft.com>
Co-authored-by: ZhangTP1996 <ztp18@mails.tsinghua.edu.cn>
Co-authored-by: demon143 <59681577+demon143@users.noreply.github.com>
Co-authored-by: Wangwuyi123 <51237097+Wangwuyi123@users.noreply.github.com>
Co-authored-by: yuxwang <anduinnn@foxmail.com>
Co-authored-by: Pengrong Zhu <zhu.pengrong@foxmail.com>
Co-authored-by: Mark Zhao <50850474+markzhao98@users.noreply.github.com>
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examples/benchmarks/TFT/README.md

@@ -8,7 +8,7 @@
 Users can follow the ``workflow_by_code_tft.py`` to run the benchmark. 
 
 ### Notes
-1. Please be **aware** that this script can only support `Python 3.5 - 3.8`.
+1. Please be **aware** that this script can only support `Python 3.6 - 3.7`.
 2. If the CUDA version on your machine is not 10.0, please remember to run the following commands `conda install anaconda cudatoolkit=10.0` and `conda install cudnn` on your machine.
 3. The model must run in GPU, or an error will be raised.
 4. New datasets should be registered in ``data_formatters``, for detail please visit the source.

examples/benchmarks/TFT/requirements.txt

@@ -1,3 +1,2 @@
 tensorflow-gpu==1.15.0
-numpy == 1.19.4
-pandas==1.1.0
+pandas==1.1.0

examples/benchmarks/TFT/tft.py

@@ -1,6 +1,8 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
 
+from pathlib import Path
+from typing import Union
 import numpy as np
 import pandas as pd
 import tensorflow.compat.v1 as tf
@@ -243,7 +245,7 @@ class TFTModel(ModelFT):
             #    extract_numerical_data(targets), extract_numerical_data(p90_forecast),
             #    0.9)
             tf.keras.backend.set_session(default_keras_session)
-        print("Training completed.".format(dte.datetime.now()))
+        print("Training completed at {}.".format(dte.datetime.now()))
         # ===========================Training Process===========================
 
     def predict(self, dataset):
@@ -289,3 +291,25 @@ class TFTModel(ModelFT):
             dataset for finetuning
         """
         pass
+
+    def to_pickle(self, path: Union[Path, str]):
+        """
+        Tensorflow model can't be dumped directly.
+        So the data should be save seperatedly
+
+        **TODO**: Please implement the function to load the files
+
+        Parameters
+        ----------
+        path : Union[Path, str]
+            the target path to be dumped
+        """
+        # FIXME: implementing saving tensorflow models
+        # save tensorflow model
+        # path = Path(path)
+        # path.mkdir(parents=True)
+        # self.model.save(path)
+
+        # save qlib model wrapper
+        self.model = None
+        super(TFTModel, self).to_pickle(path)

examples/benchmarks/TFT/workflow_config_tft_Alpha158.yaml

@@ -58,8 +58,6 @@ task:
           kwargs: 
             ana_long_short: False
             ann_scaler: 252
-            model: <MODEL>
-            dataset: <DATASET>
         - class: PortAnaRecord
           module_path: qlib.workflow.record_temp
           kwargs: