\u4e8b\u60c5\u8d77\u56e0\u662f\u6211\u8981\u7528mlfinlab\u91cc\u9762\u7684\u51fd\u6570\u3002\u4f46\u662f\u7531\u4e8e\u540e\u671fmlfinlab\u5546\u4e1a\u5316\uff0c\u6211\u60f3\u7528\u514d\u8d39\u7684\u7248\u672c\uff0c\u53ea\u627e\u5230\u4e2amlfinlab-0.15.3-py3-none-any.whl\u5b89\u88c5\u5305\uff0c\u4f46\u662f\u7531\u4e8e\u4e45\u8fdc\uff0c\u5b89\u88c5\u5b8c\u4e4b\u540e\uff0c\u8c03\u7528\u51fd\u6570\u5404\u79cd\u62a5\u9519\u3002<\/p>\n
Python 3.7.15 (default, Nov 24 2022, 21:12:53)
\n[GCC 11.2.0] :: Anaconda, Inc. on linux
\nType “help”, “copyright”, “credits” or “license” for more information.
\n>>> import mlfinlab
\nRuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
\nTraceback (most recent call last):
\nFile “<stdin>”, line 1, in <module>
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/__init__.py”, line 22, in <module>
\nimport mlfinlab.portfolio_optimization as portfolio_optimization
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/portfolio_optimization\/__init__.py”, line 5, in <module>
\nfrom mlfinlab.portfolio_optimization.modern_portfolio_theory import CriticalLineAlgorithm
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/portfolio_optimization\/modern_portfolio_theory\/__init__.py”, line 5, in <module>
\nfrom mlfinlab.portfolio_optimization.modern_portfolio_theory.mean_variance import MeanVarianceOptimisation
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/portfolio_optimization\/modern_portfolio_theory\/mean_variance.py”, line 9, in <module>
\nimport cvxpy as cp
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/__init__.py”, line 18, in <module>
\nfrom cvxpy.atoms import *
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/__init__.py”, line 20, in <module>
\nfrom cvxpy.atoms.geo_mean import geo_mean
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/geo_mean.py”, line 20, in <module>
\nfrom cvxpy.utilities.power_tools import (fracify, decompose, approx_error, lower_bound,
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/utilities\/power_tools.py”, line 18, in <module>
\nfrom cvxpy.atoms.affine.reshape import reshape
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/affine\/reshape.py”, line 18, in <module>
\nfrom cvxpy.atoms.affine.hstack import hstack
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/affine\/hstack.py”, line 18, in <module>
\nfrom cvxpy.atoms.affine.affine_atom import AffAtom
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/affine\/affine_atom.py”, line 22, in <module>
\nfrom cvxpy.cvxcore.python import canonInterface
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/cvxcore\/python\/__init__.py”, line 3, in <module>
\nimport _cvxcore
\nImportError: numpy.core.multiarray failed to import<\/p>\n
\u6216\u8005numpy\u5347\u7ea7 \u5bfc\u81f4\u51fd\u6570\u65e0\u6cd5\u4f7f\u7528\uff0c\u540e\u6765\u5c31\u60f3\u7740\u8fd9\u4e8b\u5b89\u88c5\u73af\u5883\uff0c\u4e0d\u5982\u7528docker\u7eaf\u7cb9\u3002\u5c31\u60f3\u5b9e\u73b0mlfinlab-0.15.3\u5bb9\u5668\u5316\u3002<\/p>\n
\u8fd9\u6b21\u4e3b\u8981\u662f\u901a\u8fc7deepseek R1 \u548c google gemini \u53bb\u5b9e\u73b0\u7684\uff0c\u5c31\u662f\u63d0\u4f9b\u5b89\u88c5\u6587\u4ef6\uff0c\u7136\u540e\u8ba9\u5b83\u5199dockerfile\u6587\u4ef6\u5bb9\u5668\u5316\u3002<\/p>\n
\u6d4b\u8bd5\u4e0b\u6765deepseek R1\u6ca1\u80fd\u5b8c\u6210\u76ee\u6807\uff0cgoogle gemini \u6700\u7ec8\u5b8c\u6210\u4e86\uff0c\u8017\u65f6\u4e00\u5468\uff0c\u771f\u7684\u662f\u7d2f\u6b7b\u3002<\/p>\n
\u8fd9\u4e5f\u8bf4\u660e\u5f53\u524dAI \u4e2d google gemini \u7b97\u9886\u5148\u4e86\u3002<\/p>\n
\u6700\u7ec8google gemini \u63d0\u4f9b\u7684dockerfile\u6587\u4ef6\uff1a<\/p>\n
# 1. \u4f7f\u7528\u517c\u5bb9\u7684 Python \u57fa\u7840\u955c\u50cf
\nFROM python:3.8-slim<\/p>\n
# 2. \u5b89\u88c5\u7cfb\u7edf\u7ea7\u7684\u7f16\u8bd1\u5de5\u5177
\nRUN apt-get update && \\
\napt-get install -y build-essential && \\
\napt-get clean && \\
\nrm -rf \/var\/lib\/apt\/lists\/*<\/p>\n
# 3. \u8bbe\u7f6e\u5de5\u4f5c\u76ee\u5f55
\nWORKDIR \/app<\/p>\n
# 4. \u590d\u5236\u672c\u5730\u7684 wheel \u6587\u4ef6\u5230\u955c\u50cf\u4e2d
\nCOPY mlfinlab-0.15.3-py3-none-any.whl .<\/p>\n
# 5. \u3010\u6700\u7ec8\u65b9\u6848\u3011\u5206\u6b65\u5e76\u5f3a\u5236\u4f7f\u7528\u5168\u5c40\u73af\u5883\u6765\u5b89\u88c5\u4f9d\u8d56
\n# \u6b65\u9aa4 5a: \u9996\u5148\u5b89\u88c5 numpy
\nRUN pip install numpy==1.18.5<\/p>\n
# \u6b65\u9aa4 5b: \u5b89\u88c5\u5176\u4f59\u6240\u6709\u4f9d\u8d56\u5305
\nRUN pip install \\
\n–no-build-isolation \\
\npandas==1.0.4 \\
\nscipy==1.4.1 \\
\nstatsmodels==0.11.1 \\
\nscikit-learn==0.23.1 \\
\nmatplotlib==3.2.1 \\
\nseaborn \\
\nnumba==0.49.1 \\
\ntensorflow==2.2.1 \\
\ncvxpy==1.1.1 \\
\nanalytics-python==1.2.9 \\
\ngetmac==0.8.2 \\
\nPOT==0.7.0 \\
\ndash==1.14.0 \\
\ndash-bootstrap-components==0.10.3 \\
\ndash-core-components==1.10.2 \\
\ndash-html-components==1.0.3 \\
\ndash-table==4.9.0 \\
\njupyter-dash==0.3.1 \\
\ndash-cytoscape==0.2.0 \\
\nWerkzeug==2.0.3 \\
\nnetworkx==2.5<\/p>\n
# 6. \u4f7f\u7528 –no-deps \u5b89\u88c5 mlfinlab
\nRUN pip install –no-deps mlfinlab-0.15.3-py3-none-any.whl<\/p>\n
# 7. \u3010\u7ec8\u6781\u4fee\u6b63\u3011\u4f7f\u7528 sed \u547d\u4ee4\u5bf9\u5df2\u5b89\u88c5\u7684 mlfinlab \u4ee3\u7801\u8fdb\u884c\u6c38\u4e45\u6027\u4fee\u590d
\n# \u4e00\u6b21\u6027\u6ce8\u91ca\u6389 __init__.py \u6587\u4ef6\u4e2d\u6240\u6709\u5df2\u77e5\u7684\u3001\u6709\u95ee\u9898\u7684\u9065\u6d4b\u8c03\u7528
\nRUN sed -i -e “s\/devadarsh.page(‘Import’)\/# devadarsh.page(‘Import’)\/g” \\
\n-e “s\/devadarsh.identify()\/# devadarsh.identify()\/g” \\
\n\/usr\/local\/lib\/python3.8\/site-packages\/mlfinlab\/__init__.py<\/p>\n
# 8. \u4f7f\u7528\u72ec\u7acb\u7684\u811a\u672c\u6587\u4ef6\u8fdb\u884c\u9a8c\u8bc1
\nCOPY verify.py .
\nRUN python3 verify.py<\/p>\n
# 9. (\u53ef\u9009) \u5b89\u88c5 Jupyter Lab
\nRUN pip install jupyterlab<\/p>\n
# 10. (\u53ef\u9009) \u66b4\u9732\u7aef\u53e3
\nEXPOSE 8888<\/p>\n
# 11. (\u53ef\u9009) \u8bbe\u7f6e\u542f\u52a8\u547d\u4ee4
\nCMD [“jupyter”, “lab”, “–ip=0.0.0.0”, “–port=8888”, “–no-browser”, “–allow-root”]<\/p>\n
\u53e6\u5916\u9700\u8981\u5355\u72ecverify.py \u7684\u6587\u4ef6\u3002<\/p>\n
verify.py\u5982\u4e0b\uff1a<\/p>\n
# verify.py<\/p>\n
# \u5bfc\u5165\u6240\u6709\u6838\u5fc3\u5e93
\nimport numpy as np
\nimport scipy
\nimport mlfinlab<\/p>\n
# — \u5f00\u59cb\u9a8c\u8bc1 —
\nprint(‘—— Verification Start ——‘)
\nprint(f’NumPy version: {np.__version__}’)
\nprint(f’SciPy version: {scipy.__version__}’)
\n# mlfinlab \u5e93\u6ca1\u6709 __version__ \u5c5e\u6027\uff0c\u4f46 import \u6210\u529f\u5373\u4ee3\u8868\u5b89\u88c5\u6210\u529f
\nprint(‘MLFinLab module imported successfully!’)
\nprint(‘—— Verification End: All looks good! Build successful! ——‘)<\/p>\n
<\/p>\n
\u6700\u7ec8\u6d4b\u8bd5mlfinlab\u6ca1\u6709\u62a5\u9519\uff0cmlfinlab \u6211\u9700\u8981\u7684\u51fd\u6570\u4e5f\u6b63\u5e38\u4f7f\u7528\uff0c\u5b8c\u7f8e\u3002
\n\u6700\u540e\u5c31\u4e3b\u673a\u4e0b\u8f7d\u6700\u65b0python:3.8\uff08\u8001\u7248\u672c\u7684python3.8 \u4f1a\u5f02\u5e38\u62a5\u9519\uff1apython3.8\/site-packages\/_cvxcore.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZSt28__throw_bad_array_new_lengthv \u6700\u597d\u4e0b\u8f7d\u6700\u65b0\u7684\u7248\u672c\uff0c\u5c31\u6ca1\u95ee\u9898\uff09\uff0c\u6309\u7167\u6b65\u9aa4\u91cd\u65b0\u5b89\u88c5\u5230\u672c\u5730\uff0c\u5b8c\u7f8e\u89e3\u51b3\u95ee\u9898\u3002
\n\u540e\u7eed\u7ee7\u7eed\u6d4b\u8bd5\u3002\u5b8c\u7f8e\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
\u4e8b\u60c5\u8d77\u56e0\u662f\u6211\u8981\u7528mlfinlab\u91cc\u9762\u7684\u51fd\u6570\u3002\u4f46\u662f\u7531\u4e8e\u540e\u671fmlfinlab\u5546\u4e1a\u5316\uff0c\u6211\u60f3\u7528\u514d\u8d39\u7684\u7248\u672c\uff0c\u53ea\u627e\u5230\u4e2amlfinlab-0.15.3-py3-none-any.whl\u5b89\u88c5\u5305\uff0c\u4f46\u662f\u7531\u4e8e\u4e45\u8fdc\uff0c\u5b89\u88c5\u5b8c\u4e4b\u540e\uff0c\u8c03\u7528\u51fd\u6570\u5404\u79cd\u62a5\u9519\u3002<\/p>\n
Python 3.7.15 (default, Nov 24 2022, 21:12:53)
\n[GCC 11.2.0] :: Anaconda, Inc. on linux
\nType “help”, “copyright”, “credits” or “license” for more information.
\n>>> import mlfinlab
\nRuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
\nTraceback (most recent call last):
\nFile “<stdin>”, line 1, in <module>
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/__init__.py”, line 22, in <module>
\nimport mlfinlab.portfolio_optimization as portfolio_optimization
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/portfolio_optimization\/__init__.py”, line 5, in <module>
\nfrom mlfinlab.portfolio_optimization.modern_portfolio_theory import CriticalLineAlgorithm
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/portfolio_optimization\/modern_portfolio_theory\/__init__.py”, line 5, in <module>
\nfrom mlfinlab.portfolio_optimization.modern_portfolio_theory.mean_variance import MeanVarianceOptimisation
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/mlfinlab\/portfolio_optimization\/modern_portfolio_theory\/mean_variance.py”, line 9, in <module>
\nimport cvxpy as cp
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/__init__.py”, line 18, in <module>
\nfrom cvxpy.atoms import *
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/__init__.py”, line 20, in <module>
\nfrom cvxpy.atoms.geo_mean import geo_mean
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/geo_mean.py”, line 20, in <module>
\nfrom cvxpy.utilities.power_tools import (fracify, decompose, approx_error, lower_bound,
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/utilities\/power_tools.py”, line 18, in <module>
\nfrom cvxpy.atoms.affine.reshape import reshape
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/affine\/reshape.py”, line 18, in <module>
\nfrom cvxpy.atoms.affine.hstack import hstack
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/affine\/hstack.py”, line 18, in <module>
\nfrom cvxpy.atoms.affine.affine_atom import AffAtom
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/atoms\/affine\/affine_atom.py”, line 22, in <module>
\nfrom cvxpy.cvxcore.python import canonInterface
\nFile “\/root\/miniconda3_mlf_im\/lib\/python3.7\/site-packages\/cvxpy\/cvxcore\/python\/__init__.py”, line 3, in <module>
\nimport _cvxcore
\nImportError: numpy.core.multiarray failed to import<\/p>\n
\u6216\u8005numpy\u5347\u7ea7 \u5bfc\u81f4\u51fd\u6570\u65e0\u6cd5\u4f7f\u7528\uff0c\u540e\u6765\u5c31\u60f3\u7740\u8fd9\u4e8b\u5b89\u88c5\u73af\u5883\uff0c\u4e0d\u5982\u7528docker\u7eaf\u7cb9\u3002\u5c31\u60f3\u5b9e\u73b0mlfinlab-0.15.3\u5bb9\u5668\u5316\u3002<\/p>\n
\u8fd9\u6b21\u4e3b\u8981\u662f\u901a\u8fc7deepseek R1 \u548c google gemini \u53bb\u5b9e\u73b0\u7684\uff0c\u5c31\u662f\u63d0\u4f9b\u5b89\u88c5\u6587\u4ef6\uff0c\u7136\u540e\u8ba9\u5b83\u5199dockerfile\u6587\u4ef6\u5bb9\u5668\u5316\u3002<\/p>\n
\u6d4b\u8bd5\u4e0b\u6765deepseek R1\u6ca1\u80fd\u5b8c\u6210\u76ee\u6807\uff0cgoogle gemini \u6700\u7ec8\u5b8c\u6210\u4e86\uff0c\u8017\u65f6\u4e00\u5468\uff0c\u771f\u7684\u662f\u7d2f\u6b7b\u3002<\/p>\n
\u8fd9\u4e5f\u8bf4\u660e\u5f53\u524dAI \u4e2d google gemini \u7b97\u9886\u5148\u4e86\u3002<\/p>\n
\u6700\u7ec8google gemini \u63d0\u4f9b\u7684dockerfile\u6587\u4ef6\uff1a<\/p>\n
# 1. \u4f7f\u7528\u517c\u5bb9\u7684 Python \u57fa\u7840\u955c\u50cf
\nFROM python:3.8-slim<\/p>\n
# 2. \u5b89\u88c5\u7cfb\u7edf\u7ea7\u7684\u7f16\u8bd1\u5de5\u5177
\nRUN apt-get update && \\
\napt-get install -y build-essential && \\
\napt-get clean && \\
\nrm -rf \/var\/lib\/apt\/lists\/*<\/p>\n
# 3. \u8bbe\u7f6e\u5de5\u4f5c\u76ee\u5f55
\nWORKDIR \/app<\/p>\n
# 4. \u590d\u5236\u672c\u5730\u7684 wheel \u6587\u4ef6\u5230\u955c\u50cf\u4e2d
\nCOPY mlfinlab-0.15.3-py3-none-any.whl .<\/p>\n
# 5. \u3010\u6700\u7ec8\u65b9\u6848\u3011\u5206\u6b65\u5e76\u5f3a\u5236\u4f7f\u7528\u5168\u5c40\u73af\u5883\u6765\u5b89\u88c5\u4f9d\u8d56
\n# \u6b65\u9aa4 5a: \u9996\u5148\u5b89\u88c5 numpy
\nRUN pip install numpy==1.18.5<\/p>\n
# \u6b65\u9aa4 5b: \u5b89\u88c5\u5176\u4f59\u6240\u6709\u4f9d\u8d56\u5305
\nRUN pip install \\
\n–no-build-isolation \\
\npandas==1.0.4 \\
\nscipy==1.4.1 \\
\nstatsmodels==0.11.1 \\
\nscikit-learn==0.23.1 \\
\nmatplotlib==3.2.1 \\
\nseaborn \\
\nnumba==0.49.1 \\
\ntensorflow==2.2.1 \\
\ncvxpy==1.1.1 \\
\nanalytics-python==1.2.9 \\
\ngetmac==0.8.2 \\
\nPOT==0.7.0 \\
\ndash==1.14.0 \\
\ndash-bootstrap-components==0.10.3 \\
\ndash-core-components==1.10.2 \\
\ndash-html-components==1.0.3 \\
\ndash-table==4.9.0 \\
\njupyter-dash==0.3.1 \\
\ndash-cytoscape==0.2.0 \\
\nWerkzeug==2.0.3 \\
\nnetworkx==2.5<\/p>\n
# 6. \u4f7f\u7528 –no-deps \u5b89\u88c5 mlfinlab
\nRUN pip install –no-deps mlfinlab-0.15.3-py3-none-any.whl<\/p>\n
# 7. \u3010\u7ec8\u6781\u4fee\u6b63\u3011\u4f7f\u7528 sed \u547d\u4ee4\u5bf9\u5df2\u5b89\u88c5\u7684 mlfinlab \u4ee3\u7801\u8fdb\u884c\u6c38\u4e45\u6027\u4fee\u590d
\n# \u4e00\u6b21\u6027\u6ce8\u91ca\u6389 __init__.py \u6587\u4ef6\u4e2d\u6240\u6709\u5df2\u77e5\u7684\u3001\u6709\u95ee\u9898\u7684\u9065\u6d4b\u8c03\u7528
\nRUN sed -i -e “s\/devadarsh.page(‘Import’)\/# devadarsh.page(‘Import’)\/g” \\
\n-e “s\/devadarsh.identify()\/# devadarsh.identify()\/g” \\
\n\/usr\/local\/lib\/python3.8\/site-packages\/mlfinlab\/__init__.py<\/p>\n
# 8. \u4f7f\u7528\u72ec\u7acb\u7684\u811a\u672c\u6587\u4ef6\u8fdb\u884c\u9a8c\u8bc1
\nCOPY verify.py .
\nRUN python3 verify.py<\/p>\n
# 9. (\u53ef\u9009) \u5b89\u88c5 Jupyter Lab
\nRUN pip install jupyterlab<\/p>\n
# 10. (\u53ef\u9009) \u66b4\u9732\u7aef\u53e3
\nEXPOSE 8888<\/p>\n
# 11. (\u53ef\u9009) \u8bbe\u7f6e\u542f\u52a8\u547d\u4ee4
\nCMD [“jupyter”, “lab”, “–ip=0.0.0.0”, “–port=8888”, “–no-browser”, “–allow-root”]<\/p>\n
\u53e6\u5916\u9700\u8981\u5355\u72ecverify.py \u7684\u6587\u4ef6\u3002<\/p>\n
verify.py\u5982\u4e0b\uff1a<\/p>\n
# verify.py<\/p>\n
# \u5bfc\u5165\u6240\u6709\u6838\u5fc3\u5e93
\nimport numpy as np
\nimport scipy
\nimport mlfinlab<\/p>\n
# — \u5f00\u59cb\u9a8c\u8bc1 —
\nprint(‘—— Verification Start ——‘)
\nprint(f’NumPy version: {np.__version__}’)
\nprint(f’SciPy version: {scipy.__version__}’)
\n# mlfinlab \u5e93\u6ca1\u6709 __version__ \u5c5e\u6027\uff0c\u4f46 import \u6210\u529f\u5373\u4ee3\u8868\u5b89\u88c5\u6210\u529f
\nprint(‘MLFinLab module imported successfully!’)
\nprint(‘—— Verification End: All looks good! Build successful! ——‘)<\/p>\n
<\/p>\n
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\n\u6700\u540e\u5c31\u4e3b\u673a\u4e0b\u8f7d\u6700\u65b0python:3.8\uff08\u8001\u7248\u672c\u7684python3.8 \u4f1a\u5f02\u5e38\u62a5\u9519\uff1apython3.8\/site-packages\/_cvxcore.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZSt28__throw_bad_array_new_lengthv \u6700\u597d\u4e0b\u8f7d\u6700\u65b0\u7684\u7248\u672c\uff0c\u5c31\u6ca1\u95ee\u9898\uff09\uff0c\u6309\u7167\u6b65\u9aa4\u91cd\u65b0\u5b89\u88c5\u5230\u672c\u5730\uff0c\u5b8c\u7f8e\u89e3\u51b3\u95ee\u9898\u3002
\n\u540e\u7eed\u7ee7\u7eed\u6d4b\u8bd5\u3002\u5b8c\u7f8e\uff01<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[371,385,426],"class_list":["post-5755","post","type-post","status-publish","format-standard","hentry","category-5","tag-docker","tag-mlfinlab","tag-426","category-5-id","post-seq-1","post-parity-odd","meta-position-corners","fix"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=\/wp\/v2\/posts\/5755","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5755"}],"version-history":[{"count":1,"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=\/wp\/v2\/posts\/5755\/revisions"}],"predecessor-version":[{"id":5756,"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=\/wp\/v2\/posts\/5755\/revisions\/5756"}],"wp:attachment":[{"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5755"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5755"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hmouse.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5755"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}