StevenReitsma

kind: AuthorizationPolicy
apiVersion: security.istio.io/v1beta1
metadata:
  name: allow-to-example-model
  namespace: example-model
spec:
  action: ALLOW
  rules:
    - when:
        - key: "request.auth.claims[email]"

StevenReitsma

kind: RequestAuthentication
apiVersion: security.istio.io/v1beta1
metadata:
  name: enforce-jwt-for-apis
  namespace: api
spec:
  jwtRules:
    - audiences:
        - ml
      fromHeaders:

StevenReitsma

- name: ISTIO_ENABLED
  value: 'true'
- name: ISTIO_GATEWAY
  value: api/seldon-gateway
- name: ISTIO_TLS_MODE
  value: STRICT

StevenReitsma

apiVersion: machinelearning.seldon.io/v1alpha2
kind: SeldonDeployment
metadata:
  name: example
  namespace: example-model
spec:
  name: example
  predictors:
    - componentSpecs:
        - spec:

StevenReitsma

from sklearn.ensemble import RandomForestClassifier
from sklearn import datasets
import bentoml
from bentoml.adapters import DataframeInput
from bentoml.frameworks.sklearn import SklearnModelArtifact

def train():
    iris = datasets.load_iris()
    X = iris.data
    y = iris.target

StevenReitsma

import joblib
from flask import Flask, request
import numpy as np
import os


app = Flask(__name__)
model = None

StevenReitsma

apiVersion: batch/v1
kind: Job
metadata:
  name: training-job
spec:
  template:
    spec:
      containers:
      - name: train-model
        image: bdrci/k8s-model-trainer

StevenReitsma

from sklearn import datasets
from sklearn import svm
import joblib


def train(data):
    clf = svm.SVC(gamma=0.001, C=100.)
    clf.fit(data.data[:-1], data.target[:-1])

    return clf

StevenReitsma

time_created: 2018-02-21T13:21:34.12
flavors:
  sklearn:
    sklearn_version: 0.19.1
    pickled_model: model.pkl
  python_function:
    loader_module: mlflow.sklearn
    pickled_model: model.pkl

StevenReitsma

name: My Project
conda_env: conda.yaml
entry_points:
  main:
    parameters:
      data_file: path
      regularization: {type: float, default: 0.1}
    command: "python train.py -r {regularization} {data_file}"
  validate:
    parameters: