epub |eng | 2017-08-09 | Author:Josh Patterson & Adam Gibson

Understanding the Debug Output During Training During training, we’ll see command-line output such as the following: 21:36:00.358 [main] INFO o.d.o.l.ScoreIterationListener - Score at iteration 0 is 0.5154157920151949 The value at ...

epub |eng | 2017-08-16 | Author:Tom Hope, Yehezkel S. Resheff & Itay Lieder

model = learn.<some_Estimator>() Then we fit it using our training data: model.fit() We evaluate the model to see how well it does on some given dataset: model.evaluate() Finally, we use ...

epub, mobi, pdf |eng | 2016-12-06 | Author:Jake VanderPlas

In[11]: plt.imshow(I, cmap=plt.cm.get_cmap('Blues', 6)) plt.colorbar() plt.clim(-1, 1); Figure 4-56. A discretized colormap The discrete version of a colormap can be used just like any other colormap. Example: Handwritten Digits For ...

epub |eng | | Author:By Joshua Greene & By Jay Strawn

What should you be careful about? There is a protocol named IteratorProtocol, which allows you to customize how your object is iterated. You simply implement a next() method that returns ...

epub |eng | | Author:By René Cacheaux & By René Cacheaux & Josh Berlin & By Josh Berlin & René Cacheaux

Going through the steps one by one: PickMeUpViewController injects its PickMeUpViewModel into DropoffLocationPickerViewController. DropoffLocationPickerViewController creates a DropoffLocationPickerContentRootView with the PickMeUpViewModel. DropoffLocationPickerContentRootView tells its DropoffLocationPickerViewModel when the user selects a new ...

epub |eng | 2019-03-29 | Author:Rudy Lai

Testing our custom RDD Let's start this test to check if this has created our RDD. By doing this, we can extend our parent RDD and add behavior to our ...

epub |eng | 2019-03-15 | Author:Will Button

Then we're going to use async and await to get the deployed version of our contract from the Ethereum network. So, let me break a async and await down for ...

epub |eng | 2019-03-29 | Author:Yoon Hyup Hwang

User-based collaborative filtering and recommendations In order to build a user-based collaborative filtering algorithm, we need to compute cosine similarities between users. Let's take a look at the following code: ...

epub, pdf |eng | 2019-11-24 | Author:Aileen Nielsen [Aileen Nielsen]

Scatter plots The traditional method of using scatter plots is just as useful for time series data as it is for other kinds of data. We can use scatter plots ...

epub |eng | 2019-03-29 | Author:Krish Naik

portfolio_returns=[] portfolio_volatilities=[] for x in range(1000): weights=np.random.random(num_assets) weights/=np.sum(weights) portfolio_returns.append(np.sum(weights*log_returns.mean())*250) portfolio_volatilities.append(np.sqrt(np.dot(weights.T,np.dot(log_returns.cov(),weights)))) portfolio_returns,portfolio_volatilities The output generated is shown in the following screenshot: In the loop, we are generating two weights, whose sums ...

epub |eng | 2019-03-28 | Author:Tony Holdroyd

import numpy as np import matplotlib.pyplot as plt %matplotlib inline Preprocessing the data Then, we load the data. For this application, we will use the fashion_mnist dataset, which was designed ...

epub, mobi |eng | 2013-02-13 | Author:Michael J. Hernandez [Hernandez, Michael J.]

* * * Note I commonly create an ID field (such as EMPLOYEE ID, VENDOR ID, DEPARTMENT ID, CATEGORY ID, and so on) and use it as an artificial candidate ...

epub |eng | 2018-12-27 | Author:Raúl Estrada

Before continuing to write code, let's remember the project requirements for the Kioto stream processing engine. Putting it all together, the specification is to create a stream engine that does ...

epub, pdf |eng | 2015-07-19 | Author:Carl Anderson

Interestingly, recent research found that chartjunk, pictograms, color, and contrast—all of which are prominent in infographics—made charts memorable. You were more likely to remember having seen the chart before. However, ...

epub, pdf |eng | 2019-04-04 | Author:Claus O. Wilke

Figure 16-10. Mean butterfat contents in the milk of four cattle breeds. Error bars indicate +/– one standard error of the mean. Visualizations of this type are frequently seen in ...