abaranovskis-redsamurai

#Oracle cloud target attributes START-Particular to 12.2.1.1 version
oracle.commons=${env.MIDDLEWARE_HOME_SOA_12_2_1}/oracle_common
install.dir=${env.ORACLE_HOME_SOA_12_2_1}
oracle.home=${env.ORACLE_HOME_SOA_12_2_1}
middleware.home=${env.MIDDLEWARE_HOME_SOA_12_2_1}
#END
#Project specific attributes START
oracle.jdeveloper.workspace.path=${env.WORKSPACE}/ADFAltaApp.jws
oracle.jdeveloper.deploy.outputfile=${env.WORKSPACE}/ViewController/deploy/${profile.name}

abaranovskis-redsamurai

<?xml version="1.0" encoding="windows-1252" ?>
<!--Ant buildfile generated by Oracle JDeveloper-->
<!--Generated Nov 29, 2016 11:00:18 PM-->
<project xmlns="antlib:org.apache.tools.ant" name="ADFAltaApp" basedir=".">
<property environment="env" />
  <property file="build.properties"/>
  <property name="worksp" value="${env.WORKSPACE}"/>
  <property name="orchome" value="${oracle.home}"/>
  <property name="midhome" value="${middleware.home}"/>
<echo message="${worksp}" />

abaranovskis-redsamurai

<RowFinders>
    <ExpressionRowFinder
      Name="RESTFilter">
      <ViewCriteriaUsage
        Name="DepartmentsViewCriteria"
        FullName="com.redsamurai.model.views.DepartmentsView.DepartmentsViewCriteria"/>
      <VarExpressionMap
        Name="RESTFilterMap">
        <VariableExpressionMapping
          Name="locIdVar"

abaranovskis-redsamurai

      self.customers = ko.observableArray();
      
      self.customers.push({id: 1, max: 200, min: 0, value: ko.observable(100), step: 10});
      self.customers.push({id: 2, max: 200, min: 0, value: ko.observable(110), step: 10});
      
      self.getSliderValues = function () {
          for (var i = 0; i < self.customers().length; i++) {
              console.log(self.customers()[i].value());
          }
      };

abaranovskis-redsamurai

        <!-- ko foreach: customers --> 
        <input data-bind="ojComponent: {
		    component: 'ojSlider', 
		    max:max,
		    min:min, 
		    step:step, 
		    value:value
		    }"/>
        <span id="value" data-bind="text: value"></span>
        <br/><br/>

abaranovskis-redsamurai

{
    "parts": [
        {
            "id": "part1",
            "path": "/1/Employees/100",
            "operation": "update",
            "payload": {
                "Salary": 28700
            }
        },

abaranovskis-redsamurai

import numpy as np
import tensorflow as tf
from flask import Flask, jsonify, request
from flask_cors import CORS, cross_origin

app = Flask(__name__)
CORS(app)

@app.route("/redsam/api/v0.1/points", methods=['GET', 'POST'])
def linear_regression_train():

abaranovskis-redsamurai

import numpy as np
import tensorflow as tf
from flask import Flask, jsonify, request
from flask_cors import CORS, cross_origin

app = Flask(__name__)
CORS(app)

@app.route("/redsam/api/v0.1/points", methods=['GET', 'POST'])
def linear_regression_train():

abaranovskis-redsamurai

import numpy as np
import tensorflow as tf
from flask import Flask, jsonify, request
from flask_cors import CORS, cross_origin

app = Flask(__name__)
CORS(app)

@app.route("/redsam/api/v0.1/points", methods=['GET', 'POST'])
def linear_regression_train():

abaranovskis-redsamurai

import os
import io
import boto3
import json
import csv

# grab environment variables
ENDPOINT_NAME = os.environ['ENDPOINT_NAME']
runtime= boto3.client('runtime.sagemaker')