Update QLIB
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[submodule "qlib-git"]
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path = qlib-git
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path = .latent-data/qlib
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url = git@github.com:microsoft/qlib.git
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@ -20,9 +20,6 @@ This project implemented several neural architecture search (NAS) and hyper-para
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- All algorithms are in the same codebase
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- Active maintenance
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`git clone --recursive git@github.com:D-X-Y/Auto-Qlib.git`
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## AutoDL-Projects Capabilities
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At this moment, this project provides the following algorithms and scripts to run them. Please see the details in the link provided in the description column.
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120
notebooks/Q/qlib-data-play.ipynb
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120
notebooks/Q/qlib-data-play.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"[24128:MainThread](2021-03-01 12:58:36,399) INFO - qlib.Initialization - [config.py:276] - default_conf: client.\n",
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"[24128:MainThread](2021-03-01 12:58:36,402) WARNING - qlib.Initialization - [config.py:291] - redis connection failed(host=127.0.0.1 port=6379), cache will not be used!\n",
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"[24128:MainThread](2021-03-01 12:58:37,535) INFO - qlib.Initialization - [__init__.py:46] - qlib successfully initialized based on client settings.\n",
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"[24128:MainThread](2021-03-01 12:58:37,536) INFO - qlib.Initialization - [__init__.py:47] - data_path=/Users/xuanyidong/.qlib/qlib_data/cn_data\n"
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]
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}
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],
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"source": [
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"import os\n",
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"import sys\n",
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"import qlib\n",
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"qlib.init(provider_uri='~/.qlib/qlib_data/cn_data')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<qlib.utils.Wrapper object at 0x7fd0af4a3700>\n"
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]
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}
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],
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"source": [
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"from qlib.data import D"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(1897,)\n",
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"[Timestamp('2010-01-04 00:00:00') Timestamp('2010-01-05 00:00:00')\n",
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" Timestamp('2010-01-06 00:00:00') ... Timestamp('2017-12-27 00:00:00')\n",
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" Timestamp('2017-12-28 00:00:00') Timestamp('2017-12-29 00:00:00')]\n"
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]
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}
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],
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"source": [
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"calendar = D.calendar(start_time='2010-01-01', end_time='2017-12-31', freq='day')\n",
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"print(calendar.shape)\n",
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"print(calendar)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'qlib.config.QlibConfig'>\n",
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"LocalProvider\n",
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"<class 'qlib.utils.Wrapper'>\n",
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"<class 'qlib.data.data.LocalProvider'>\n"
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]
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}
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],
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"source": [
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"from qlib.config import C\n",
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"from qlib.\n",
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"print(type(C))\n",
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"# print(C)\n",
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"print(C.provider)\n",
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"print(type(D))\n",
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"print(type(D._provider))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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1
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1
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@ -1 +0,0 @@
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Subproject commit fa8f1cba06ba511744a0625afdf2cc3ac05302d0
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