crockpotveggies

version: '2'
services:
  zookeeper:
    image: confluentinc/cp-zookeeper:latest
    hostname: zookeeper
    container_name: zookeeper
    ports:
      - '2181:2181'
    environment:
      ZOOKEEPER_CLIENT_PORT: '2181'

crockpotveggies

crockpotveggies

crockpotveggies

crockpotveggies

crockpotveggies

import org.apache.commons.io.FileUtils;
import org.datavec.api.records.reader.SequenceRecordReader;
import org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader;
import org.datavec.api.split.NumberedFileInputSplit;
import org.deeplearning4j.api.storage.StatsStorage;
import org.deeplearning4j.arbiter.ComputationGraphSpace;
import org.deeplearning4j.arbiter.conf.updater.SgdSpace;
import org.deeplearning4j.arbiter.layers.LSTMLayerSpace;
import org.deeplearning4j.arbiter.layers.OutputLayerSpace;
import org.deeplearning4j.arbiter.optimize.api.OptimizationResult;

crockpotveggies

var fs = require('fs')

var labels = fs.readFileSync('labels.txt', 'utf-8')
    .split('\n')
    .filter(Boolean);

/*for(i = 0; i < labels.length; i++) {
  fs.mkdirSync("./train/"+i);
  fs.mkdirSync("./test/"+i);
}*/

crockpotveggies

/*
 *  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
 *
 *     http://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.

crockpotveggies

#!/bin/sh

wget http://www.eu.apache.org/dist/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz
tar xzf apache-maven-3.3.9-bin.tar.gz
sudo mkdir /usr/local/maven
sudo mv apache-maven-3.3.9/ /usr/local/maven/
sudo alternatives --install /usr/bin/mvn mvn /usr/local/maven/apache-maven-3.3.9/bin/mvn 1
sudo alternatives --config mvn

crockpotveggies

object Preprocessor extends Serializable {
    class Seq2SeqAutoencoderPreProcessor extends MultiDataSetPreProcessor {

        override def preProcess(mds: MultiDataSet): Unit = {
            val input: INDArray = mds.getFeatures(0)
            val features: Array[INDArray] = Array.ofDim[INDArray](2)
            val labels: Array[INDArray] = Array.ofDim[INDArray](1)
            
            features(0) = input