da31108
5ca1c6991afd941dd93a4052 7 years ago
3 changed file(s) with 238 addition(s) and 31 deletion(s). Raw diff Collapse all Expand all
+82
-1
Untitled.ipynb less more
0 {"cells": [{"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": ["# You can use other public modules via our Client object with module's identifier\n", "# and parameters.\n", "# For more detailes, please see our online document - https://momodel.github.io/docs/#\n", "import os\n", "import sys\n", "# Define root path\n", "sys.path.append('../')\n", "# Import necessary packages\n", "from modules import json_parser\n", "from modules import Client\n", "# Initialise Client object\n", "client = Client(api_key='996c5ec910a35bc0813ba5f12f4ba667ba10af41ecd4c9dd0ff9aa5cbfc0439a',\n", " project_id='5cd04ee51afd94639a492b8e', user_ID='5ca1c6991afd941dd93a4052',\n", " project_type='app', source_file_path='Untitled.ipynb')\n", "# Make run/train/predict command alias for further use\n", "run = client.run\n", "train = client.train\n", "predict = client.predict\n", "# Make controller alias for further use\n", "controller = client.controller\n"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": []}], "metadata": {"kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2"}}, "nbformat": 4, "nbformat_minor": 2}⏎
0 {
1 "cells": [
2 {
3 "cell_type": "code",
4 "execution_count": 1,
5 "metadata": {},
6 "outputs": [],
7 "source": [
8 "# You can use other public modules via our Client object with module's identifier\n",
9 "# and parameters.\n",
10 "# For more detailes, please see our online document - https://momodel.github.io/docs/#\n",
11 "import os\n",
12 "import sys\n",
13 "# Define root path\n",
14 "sys.path.append('../')\n",
15 "# Import necessary packages\n",
16 "from modules import json_parser\n",
17 "from modules import Client\n",
18 "# Initialise Client object\n",
19 "client = Client(api_key='996c5ec910a35bc0813ba5f12f4ba667ba10af41ecd4c9dd0ff9aa5cbfc0439a',\n",
20 " project_id='5cd04ee51afd94639a492b8e', user_ID='5ca1c6991afd941dd93a4052',\n",
21 " project_type='app', source_file_path='Untitled.ipynb')\n",
22 "# Make run/train/predict command alias for further use\n",
23 "run = client.run\n",
24 "train = client.train\n",
25 "predict = client.predict\n",
26 "# Make controller alias for further use\n",
27 "controller = client.controller\n"
28 ]
29 },
30 {
31 "cell_type": "code",
32 "execution_count": null,
33 "metadata": {},
34 "outputs": [],
35 "source": []
36 },
37 {
38 "cell_type": "code",
39 "execution_count": null,
40 "metadata": {},
41 "outputs": [],
42 "source": [
43 "def handle(conf): \n",
44 " \"\"\"\n",
45 " 该方法是部署之后，其他人调用你的服务时候的处理方法。\n",
46 " 请按规范填写参数结构，这样我们就能替你自动生成配置文件，方便其他人的调用。\n",
47 " 范例：\n",
48 " params['key'] = value # value_type: str # description: some description\n",
49 " 参数请放到params字典中，我们会自动解析该变量。\n",
50 " \"\"\"\n",
51 " \n",
52 " param1 = conf['param1'] # value_type: str # description: some description\n",
53 " param2 = conf['param2'] # value_type: str # description: some description\n",
54 " # add your code\n",
55 " return {'ret1': 'cat', 'ret2': 'dog'}\n",
56 " "
57 ]
58 }
59 ],
60 "metadata": {
61 "kernelspec": {
62 "display_name": "Python 3",
63 "language": "python",
64 "name": "python3"
65 },
66 "language_info": {
67 "codemirror_mode": {
68 "name": "ipython",
69 "version": 3
70 },
71 "file_extension": ".py",
72 "mimetype": "text/x-python",
73 "name": "python",
74 "nbconvert_exporter": "python",
75 "pygments_lexer": "ipython3",
76 "version": "3.5.2"
77 }
78 },
79 "nbformat": 4,
80 "nbformat_minor": 2
81 }
+126
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faas_requirements.txt less more
0 absl-py==0.7.0
1 alembic==1.0.8
2 astor==0.7.1
3 astroid==2.2.5
4 attrs==19.1.0
5 autopep8==1.4.3
6 backcall==0.1.0
7 beautifulsoup4==4.7.1
8 bleach==3.1.0
9 bs4==0.0.1
10 certifi==2019.3.9
11 chardet==3.0.4
12 cloudpickle==0.8.0
13 cycler==0.10.0
14 Cython==0.29.6
15 dask==1.1.4
16 decorator==4.4.0
17 defusedxml==0.5.0
18 entrypoints==0.3
19 future==0.17.1
20 gast==0.2.2
21 grpcio==1.19.0
22 h5py==2.9.0
23 idna==2.8
24 imageio==2.5.0
25 imgaug==0.2.8
26 ipykernel==5.1.0
27 ipython==7.4.0
28 ipython-genutils==0.2.0
29 isort==4.3.15
30 jedi==0.13.3
31 jieba==0.39
32 Jinja2==2.10
33 jsonschema==3.0.1
34 jupyter-client==5.2.4
35 jupyter-core==4.4.0
36 jupyterhub==0.8.1
37 jupyterlab==1.0.0a1
38 jupyterlab-server==0.2.0
39 Keras==2.2.4
40 Keras-Applications==1.0.7
41 Keras-Preprocessing==1.0.9
42 kiwisolver==1.0.1
43 lazy-object-proxy==1.3.1
44 Mako==1.0.8
45 Markdown==3.0.1
46 MarkupSafe==1.1.1
47 matplotlib==3.0.3
48 mccabe==0.6.1
49 mistune==0.8.4
50 mock==2.0.0
51 nbconvert==5.4.1
52 nbformat==4.4.0
53 networkx==2.2
54 nltk==3.4
55 notebook==5.7.6
56 numpy==1.16.2
57 opencv-python==4.0.0.21
58 pamela==1.0.0
59 pandas==0.24.2
60 pandocfilters==1.4.2
61 parso==0.3.4
62 pbr==5.1.2
63 pexpect==4.6.0
64 pickleshare==0.7.5
65 Pillow==5.4.1
66 pluggy==0.9.0
67 prometheus-client==0.6.0
68 prompt-toolkit==2.0.9
69 protobuf==3.6.1
70 ptyprocess==0.6.0
71 pycodestyle==2.5.0
72 pydocstyle==3.0.0
73 pydot==1.4.1
74 pyflakes==2.1.1
75 Pygments==2.3.1
76 pylint==2.3.1
77 pyparsing==2.3.1
78 pyrsistent==0.14.11
79 python-dateutil==2.8.0
80 python-editor==1.0.4
81 python-jsonrpc-server==0.1.2
82 python-language-server==0.25.0
83 python-oauth2==1.1.0
84 pytz==2018.9
85 PyWavelets==1.0.2
86 PyYAML==5.1
87 pyzmq==18.0.1
88 requests==2.21.0
89 rope==0.12.0
90 scikit-image==0.14.2
91 scikit-learn==0.20.3
92 scipy==1.2.1
93 seaborn==0.9.0
94 Send2Trash==1.5.0
95 Shapely==1.6.4.post2
96 singledispatch==3.4.0.3
97 six==1.12.0
98 snowballstemmer==1.2.1
99 soupsieve==1.9.1
100 SQLAlchemy==1.3.1
101 stevedore==1.30.1
102 tensorboard==1.13.0
103 tensorflow==1.13.1
104 tensorflow-estimator==1.13.0
105 termcolor==1.1.0
106 terminado==0.8.1
107 testpath==0.4.2
108 toolz==0.9.0
109 torch==1.0.1.post2
110 torchvision==0.2.2.post3
111 tornado==6.0.2
112 tqdm==4.31.1
113 traitlets==4.3.2
114 typed-ast==1.3.1
115 urllib3==1.24.1
116 virtualenv==16.4.3
117 virtualenv-clone==0.5.1
118 virtualenvwrapper==4.8.4
119 wcwidth==0.1.7
120 webencodings==0.5.1
121 Werkzeug==0.14.1
122 word2vec==0.10.2
123 wrapt==1.11.1
124 xlrd==1.2.0
125 yapf==0.26.0
+30
-30
project_requirements.txt less more
0 lazy-object-proxy==1.3.1
1 pylint==2.3.1
2 dask==1.1.4
0 soupsieve==1.9.1
31 PyWavelets==1.0.2
42 astroid==2.2.5
3 cloudpickle==0.8.0
4 torchvision==0.2.2.post3
5 nltk==3.4
6 pydot==1.4.1
7 xlrd==1.2.0
8 jupyterlab-server==0.2.0
9 python-jsonrpc-server==0.1.2
510 beautifulsoup4==4.7.1
11 dask==1.1.4
12 isort==4.3.15
13 Shapely==1.6.4.post2
14 bs4==0.0.1
15 jieba==0.39
16 attrs==19.1.0
17 networkx==2.2
18 wrapt==1.11.1
19 imageio==2.5.0
20 pylint==2.3.1
21 tensorflow-estimator==1.13.0
622 pyrsistent==0.14.11
23 toolz==0.9.0
24 torch==1.0.1.post2
25 mock==2.0.0
26 Cython==0.29.6
27 word2vec==0.10.2
28 scikit-image==0.14.2
29 tqdm==4.31.1
30 defusedxml==0.5.0
31 singledispatch==3.4.0.3
32 typed-ast==1.3.1
733 imgaug==0.2.8
8 nltk==3.4
9 word2vec==0.10.2
10 wrapt==1.11.1
11 tensorflow-estimator==1.13.0
12 torch==1.0.1.post2
13 defusedxml==0.5.0
14 typed-ast==1.3.1
15 bs4==0.0.1
16 imageio==2.5.0
17 Cython==0.29.6
18 cloudpickle==0.8.0
19 soupsieve==1.9.1
20 singledispatch==3.4.0.3
21 pydot==1.4.1
22 jupyterlab-server==0.2.0
23 jieba==0.39
24 Shapely==1.6.4.post2
25 python-jsonrpc-server==0.1.2
26 isort==4.3.15
27 attrs==19.1.0
28 tqdm==4.31.1
29 networkx==2.2
30 mock==2.0.0
31 torchvision==0.2.2.post3
32 scikit-image==0.14.2
33 toolz==0.9.0
34 xlrd==1.2.0
34 lazy-object-proxy==1.3.1