Ruqyai

/*==============================================================================
Copyright (c) 2017 PTC Inc. All Rights Reserved.

Copyright (c) 2010-2014 Qualcomm Connected Experiences, Inc.
All Rights Reserved.
Confidential and Proprietary - Protected under copyright and other laws.
==============================================================================*/

using UnityEngine;
using Vuforia;

Ruqyai

using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class RotateEarth : MonoBehaviour {

	// Use this for initialization
	void Start () {
		
	}
	

Ruqyai

def generate_estimator(output_dir):
  return tf.estimator.DNNRegressor(feature_columns=feature_cols,
                                            hidden_units=[10, 10],
                                            model_dir=output_dir)

Ruqyai

def generate_input_fn(data_set):
    def input_fn():
      features = {k: tf.constant(data_set[k].values) for k in FEATURES}
      labels = tf.constant(data_set[LABEL].values)
      return features, labels
    return input_fn

Ruqyai

def serving_input_fn():
  #feature_placeholders are what the caller of the predict() method will have to provide
  feature_placeholders = {
      column.name: tf.placeholder(column.dtype, [None])
      for column in feature_cols
  }
  
  #features are what we actually pass to the estimator
  features = {
    # Inputs are rank 1 so that we can provide scalars to the server

Ruqyai

train_spec = tf.estimator.TrainSpec(
                input_fn=generate_input_fn(data_train),
                max_steps=3000)

exporter = tf.estimator.LatestExporter('Servo', serving_input_fn)

eval_spec=tf.estimator.EvalSpec(
            input_fn=generate_input_fn(data_test),
            steps=1,
            exporters=exporter)

Ruqyai

%%bash
mkdir trainer
touch trainer/__init__.py

Ruqyai

%%writefile trainer/task.py

import argparse
import pandas as pd
import tensorflow as tf
from tensorflow.contrib.learn.python.learn import learn_runner
from tensorflow.contrib.learn.python.learn.utils import saved_model_export_utils

print(tf.__version__)
tf.logging.set_verbosity(tf.logging.ERROR)

Ruqyai

GCS_BUCKET = 'gs://BUCKET_NAME' #غير هذه الى اسم البكت الخاصة بك CHANGE THIS TO YOUR BUCKET
PROJECT = 'PROJECT_ID' #غير هذا الى اسم المشروع الخاص بك CHANGE THIS TO YOUR PROJECT ID
REGION = 'us-central1' #اختياري ماهي المنطقة OPTIONALLY CHANGE THIS

Ruqyai

%%bash
gcloud ai-platform local train \
   --module-name=trainer.task \
   --package-path=trainer \
   -- \
   --output_dir='./output'