Tharun Kumar Tallapalli findtharun
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findtharun
/ schema.json
Created
May 29, 2020 15:49
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| { | |
| "inputContentType": "CSV", | |
| "outputContentType": "CSV", | |
| "input": [ | |
| { | |
| "name": "sepal.length", | |
| "type": "DECIMAL" | |
| }, | |
| { | |
| "name": "sepal.width", |
findtharun
/ schema.json
Created
May 29, 2020 16:04
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| { | |
| "inputContentType": "CSV", | |
| "outputContentType": "CSV", | |
| "input": [ | |
| { | |
| "name": "sepal.length", | |
| "type": "DECIMAL" | |
| }, | |
| { | |
| "name": "sepal.width", |
findtharun
/ iris_schema.json
Created
May 29, 2020 16:05
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| { | |
| "inputContentType": "CSV", | |
| "outputContentType": "CSV", | |
| "input": [ | |
| { | |
| "name": "sepal.length", | |
| "type": "DECIMAL" | |
| }, | |
| { | |
| "name": "sepal.width", |
findtharun
/ read.py
Created
June 7, 2020 06:38
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| bucket = 'testawslearn' | |
| prefix = 'git' | |
| # Define IAM role | |
| import boto3 | |
| import re | |
| import pandas as pd | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import os |
findtharun
/ train.ipynb
Created
June 7, 2020 07:20
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findtharun
/ train.ipynb
Created
June 7, 2020 07:22
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findtharun
/ Train.py
Created
June 7, 2020 07:29
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| from sklearn.preprocessing import LabelEncoder | |
| le=LabelEncoder() | |
| dataset['variety']=le.fit_transform(dataset['variety']) | |
| dataset = pd.concat([dataset['variety'], dataset.drop(['variety'], axis=1)], axis=1) | |
| dataset.head(3) |
findtharun
/ validation.py
Created
June 7, 2020 07:35
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| train_data, validation_data, test_data = np.split(dataset.sample(frac=1, random_state=1729), [int(0.7 * len(dataset)), int(0.9 * len(dataset))]) | |
| train_data.to_csv('train.csv', header=False, index=False) | |
| validation_data.to_csv('validation.csv', header=False, index=False) | |
| #UPLOADING AND TRAINING AND VALIDATION TO DATA TO S3 BUCKET | |
| s3_input_train = boto3.Session().resource('s3').Bucket(bucket).Object(os.path.join(prefix, 'train/train.csv')).upload_file('train.csv') | |
| s3_input_validation = boto3.Session().resource('s3').Bucket(bucket).Object(os.path.join(prefix, 'validation/validation.csv')).upload_file('validation.csv') | |
| #MAKING DATA AS LIBSVM or CSV FORMAT |
findtharun
/ Image.py
Last active
June 7, 2020 07:43
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| base_job_name='iris-lamba-api' | |
| from sagemaker.amazon.amazon_estimator import get_image_uri | |
| image_name = get_image_uri(boto3.Session().region_name, 'xgboost') | |
| estimator = sagemaker.estimator.Estimator( | |
| sagemaker_session=sess, | |
| image_name=image_name, | |
| role=role, | |
| train_instance_count=1, |
findtharun
/ hyperparameters.py
Created
June 7, 2020 07:47
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| estimator.set_hyperparameters(alpha=1.448983,colsample_bytree=0.6897649,eta=0.246274,gamma=0.546408,lamda=0.0003157054, | |
| max_depth=18,min_child_weight=0.00282088,num_class=3,num_round=8, objective='multi:softmax',subsample=0.538571908) |
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