forked from kubeflow/examples
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Dockerfile
38 lines (31 loc) · 1.14 KB
/
Dockerfile
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
# Copyright 2018 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Use an official Ubuntu 18.04 as parent image
FROM ubuntu:18.04
# Install python 2.7.
FROM python:2.7
RUN apt-get update
RUN apt-get install -y git make g++
# Download the training set and code.
COPY ames_dataset/ ./ames_dataset
COPY housing.py ./housing.py
# Install Kubeflow seldon_serve component.
COPY seldon_serve/ ./seldon_serve
RUN pip install -r seldon_serve/requirements.txt
# Build XGBoost.
RUN git clone --recursive https://github.com/dmlc/xgboost && \
cd xgboost && \
make -j4 && \
cd python-package; python setup.py install
ENTRYPOINT ["python", "housing.py"]