Facets are the visualization tool that discovers the models from a large number of datasets. The Facet is an open-source tool used to train the datasets by using the concepts of machine learning techniques. Facets use two robust visualizations known as Facets Overview and Facets Dive to interpret and analyze the machine learning datasets.
In this article, you can go through the set of Facets interview questions most frequently asked in the interview panel. And these lists will help you crack the interview as the topmost industry experts curate these at HKR training.
Let us have a quick review of the Facets of interview questions.
Ans: Facet is an open-source visualization tool used to understand and analyze the machine learning datasets by comparing the training datasets and test sets for model debugging.
Ans: Use Cases are
Ans: The Facet overview helps the users visualize the distribution of values and its properties in the datasets.
Ans: The Facet Dive provides the users with custom interfaces through which they can able to find the relationship among the data points and can control the color, position to visualize the data points representation based on its characteristic values.
Ans: There are many options available to run the Facets Dive such as
Ans: The HTML file has two dependencies.
Ans: Facets Dive can handle the data upto 10,000 records, and there is no limit for loading speed for large memory data files, the user should have the patience to wait until the file opens.
Ans: Probably not. You can randomly select subsets of samples from the dataset.
Ans: It depends on the size of the sprite atlas that you generate and read into Facets Dive. You could display only fewer high-resolution images depending on the PC's memory and browser capabilities.
Ans: A sprite atlas is a big image that contains many small images at predictable coordinates. The sprite coordinates start from the top-left corner of the image and proceed across and down from left-to-right and top-to-bottom.
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Ans: atlasUrl - It is the URL of an atlas image that is used for backing sprites. Each sprite is mapped with the index of a data array to a rectangle of an atlas image.
spriteUrl - It is the URl of an image, the default sprite image used for backing sprites. Each sprite has the same image.
Ans: It is an optional property which controls the elements with stylistic aspects of FacetDive.
Ans: The Facets Atlasmaker is a command-line utility and library used to create the sprite atlases.
Ans: The functionalities of Atlasmaker are
Ans: The four Dive controls are
Ans: The FacetsDive visualizations has two properties
Ans: The properties that drive the interactivity of FacetDive are the interactive properties controlled by the user.
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Ans: The interactive "position mode" attribute used in positioning items within a grid cell with stacked and scatter choices.
Ans: The "palette choice" attribute is used to generate the data-specific color palette with the four values standard, warm, cool and assist.
Ans: The "vertical position" and "horizontal position" are the two attributes.
Ans: The overview tool displays the following four things:
Ans: The Seaborn FacetGrid is a class that helps in visualizing the distribution of one variable and the relationship between multiple variables separately. FacetGrid object considers the data frame as input and names the variables that form a row, column, and hue dimensions.
Ans: The Seaborn FacetGrid.map() method applies the plotting function to each Facet's subset of data.
Ans: The parameters include
Syntax: FacetGrid.map(self, func, *args, **kwargs)
Ans: The Facets is mainly developed for Health Care systems for providing advanced care management capabilities. The Facets platform automates data points in training the healthcare datasets to produce better outcomes through visualizations.
Ans: Trizetto Facets are the number of functionalities that assist in managing an application group's business operations. The Trizetto Facets includes the business rules which process the client/server systems.
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