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0 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Tweedie Density Estimation
This package follows the following 2 papers to estimate the density of a presumed Tweedie distribution
Step1: And to prove ... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
from __future__ import print_function
import numpy as np
import scipy as sp
from tweedie import tweedie
import seaborn as sns
import statsmodels.api as sm
# Number of parameters for model
p = 20
# Number of simulated observations
n = 100000
np.random.seed(43)
exog = np.... |
1 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
syncID
Step1: We also need to import the following functions created in previous lessons
Step2: Calculate Hillshade
<img src="http
Step3: Now that w... | <ASSISTANT_TASK:>
Python Code:
from osgeo import gdal
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import warnings
warnings.filterwarnings('ignore')
Explanation: syncID: 7e916532e9fa49aeba7464350e661778
title: "Create a Hillshade from a Terrain Raster in Python"
description: "Learn how to creat... |
2 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
GLM
Step1: Local Functions
Step2: Generate Data
This dummy dataset is created to emulate some data created as part of a study into quantified self, a... | <ASSISTANT_TASK:>
Python Code:
## Interactive magics
%matplotlib inline
import sys
import warnings
warnings.filterwarnings('ignore')
import re
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import patsy as pt
from scipy import optimize
# pymc3 libraries
import pymc3 as pm
i... |
3 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Chapter 3 - Developing Templates
Generating SoftMax distributions from normals could get quite tedious – for any sufficiently complicated shape, the nu... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
%matplotlib inline
from cops_and_robots.robo_tools.fusion.softmax import SoftMax, make_regular_2D_poly
poly = make_regular_2D_poly(5, max_r=2, theta=-np.pi/4)
labels = ['Interior','Heliport Facade','Mall Terrace Entrance',
'River Terrace Entrance', 'Concou... |
4 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
.. _tut_stats_cluster_source_1samp
Step1: Set parameters
Step2: Read epochs for all channels, removing a bad one
Step3: Transform to source space
St... | <ASSISTANT_TASK:>
Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Eric Larson <larson.eric.d@gmail.com>
# License: BSD (3-clause)
import os.path as op
import numpy as np
from numpy.random import randn
from scipy import stats as stats
import mne
from mne import (io, spatia... |
5 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
* Visualizing of genetic similarity with Lightning + GraphX *
Setup lightning
Step1: Load structure similarity data
Public data from http
Step2: Show... | <ASSISTANT_TASK:>
Python Code:
%libraryDependencies += "org.viz.lightning" %% "lightning-scala" % "0.1.6"
%update
import org.viz.lightning._
import org.apache.spark.graphx._
val lgn = Lightning(host="https://lightning-spark-summit.herokuapp.com" )
lgn.enableNotebook()
Explanation: * Visualizing of genetic similarity wi... |
6 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
ES-DOC CMIP6 Model Properties - Ocean
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors... | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'noaa-gfdl', 'sandbox-2', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: NOAA-GFDL
Source ID: SANDBOX-2
Topic: Ocean
Sub-Topics... |
7 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: Reframing Design Pattern
The Reframing design pattern refers to changing the representation of the output of a machine learning problem. For exa... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import seaborn as sns
from google.cloud import bigquery
import matplotlib as plt
%matplotlib inline
bq = bigquery.Client()
query =
SELECT
weight_pounds,
is_male,
gestation_weeks,
mother_age,
plurality,
mother_race
FROM
`bigquery-public-data.samples.natali... |
8 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
YouTube Spam Collection Data Set (Part 2)
Source
Step1: <a id='section3b'></a>
Read in the data from the first CSV alone
Step2: <a id='section3c'></a... | <ASSISTANT_TASK:>
Python Code:
# Import modules
import numpy as np
import pandas as pd
Explanation: YouTube Spam Collection Data Set (Part 2)
Source: UCI Machine Learning Repository
Original Source: YouTube Spam Collection v. 1
Alberto, T.C., Lochter J.V., Almeida, T.A. Filtragem Automática de Spam nos Comentários do Y... |
9 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Table of Contents
<p><div class="lev1 toc-item"><a href="#Building-an-ANN" data-toc-modified-id="Building-an-ANN-1"><span class="toc-item-num">1 &... | <ASSISTANT_TASK:>
Python Code:
# Installing Theano
# pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git
# Installing Tensorflow
# pip install tensorflow
# Installing Keras
# pip install --upgrade keras
Explanation: Table of Contents
<p><div class="lev1 toc-item"><a href="#Building-an-ANN" data-toc-m... |
10 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Enter State Farm
Step1: Create Sample
The following assumes you've already created your validation set - remember that the training and validation set... | <ASSISTANT_TASK:>
Python Code:
import theano
import os, sys
sys.path.insert(1, os.path.join(os.getcwd(), 'utils'))
%matplotlib inline
from __future__ import print_function, division
# path = "data/sample/"
path = "data/statefarm/sample/"
import utils; reload(utils)
from utils import *
from IPython.display import FileLi... |
11 | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Import
Step1: Reading initial data
Step2: Remove rows with NAN from data
Step3: Add diff_pt and cos(diff_phi)
Step4: Add max, sum among PIDs
Step5:... | <ASSISTANT_TASK:>
Python Code:
import pandas
import numpy
from folding_group import FoldingGroupClassifier
from rep.data import LabeledDataStorage
from rep.report import ClassificationReport
from rep.report.metrics import RocAuc
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import roc_curve, ... |
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