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<?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}" /> |
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#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} |
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<RowFinders> | |
<ExpressionRowFinder | |
Name="RESTFilter"> | |
<ViewCriteriaUsage | |
Name="DepartmentsViewCriteria" | |
FullName="com.redsamurai.model.views.DepartmentsView.DepartmentsViewCriteria"/> | |
<VarExpressionMap | |
Name="RESTFilterMap"> | |
<VariableExpressionMapping | |
Name="locIdVar" |
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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()); | |
} | |
}; |
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<!-- 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/> |
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{ | |
"parts": [ | |
{ | |
"id": "part1", | |
"path": "/1/Employees/100", | |
"operation": "update", | |
"payload": { | |
"Salary": 28700 | |
} | |
}, |
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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(): |
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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(): |
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import os | |
import io | |
import boto3 | |
import json | |
import csv | |
# grab environment variables | |
ENDPOINT_NAME = os.environ['ENDPOINT_NAME'] | |
runtime= boto3.client('runtime.sagemaker') |
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import os | |
import io | |
import boto3 | |
import json | |
import csv | |
# grab environment variables | |
ENDPOINT_NAME = os.environ['ENDPOINT_NAME'] | |
runtime= boto3.client('runtime.sagemaker') |
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