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package com.IceKontroI.AI;

import org.deeplearning4j.eval.RegressionEvaluation;
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.deeplearning4j.nn.conf.layers.DenseLayer;
import org.deeplearning4j.nn.conf.layers.LSTM;
import org.deeplearning4j.nn.conf.layers.OutputLayer;
import org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep;

C4N4D4M4N

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.concurrent.TimeUnit;

public class OSBuddyTest {

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[20:06:56] C:\Users\Kael\AppData\Roaming\.tribot
[20:06:56] Script initializing
[20:06:56] Login bot state = false
[20:06:56] AI antbian state = false
[20:06:56] Loaded existing purchase history
[20:06:56] Listening for GE Offer changes
[20:06:56] Listening for GE Collection changes
[20:06:56] Listening for Inventory Item changes
[20:06:56] Offer Observer initialized
[20:06:56] Attempting to connect to RSX_Master

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[17:16:53] Exception in thread "Thread-167" 
[17:16:53] java.lang.NoClassDefFoundError: Could not initialize class org.nd4j.linalg.factory.Nd4j
[17:16:53] 	at org.deeplearning4j.util.ModelSerializer.restoreComputationGraph(ModelSerializer.java:579)
[17:16:53] 	at org.deeplearning4j.util.ModelSerializer.restoreComputationGraph(ModelSerializer.java:465)
[17:16:53] 	at org.deeplearning4j.nn.graph.ComputationGraph.readObject(ComputationGraph.java:4576)
[17:16:53] 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
[17:16:53] 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
[17:16:53] 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
[17:16:53] 	at java.lang.reflect.Method.invoke(Method.java:526)
[17:16:53] 	at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1158)

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package com.IceKontroI.MODEL_TEST;

import org.deeplearning4j.eval.IEvaluation;
import org.deeplearning4j.eval.RegressionEvaluation;
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.deeplearning4j.nn.conf.layers.DenseLayer;
import org.deeplearning4j.nn.conf.layers.OutputLayer;
import org.deeplearning4j.nn.graph.ComputationGraph;

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    public static ComputationGraphConfiguration getBatchNormModel() {

        int[][][] i;
        if (LENGTHWISE) {
            i = new int[][][] {{{0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0}}};
        } else {
            i = new int[][][] {{{0, 0}, {0, 0}, {0, 0}, {0, 0}, {0, 0}, {0, 0}, {0, 0}}};
        }
        int channels = i.length;
        int length = i[0].length;