A space for data analytics & AI related technical resources and discussions.
The Rank block enables you to grade observations of numeric variables based on their values through a ranking order. The following demonstrates how to use the Rank block to rank the values in the MockResult variable in an input dataset ExamResults.csv (which contains observations that describe a range of test scores from a…
The R block enables you to use R language programs in a Workflow. To use the R block, you must have a R interpreter installed and configured. The following demonstrates how the R block can be used to restrict an input lib_books.csv dataset (which contains observations that describe a range of books available from a lending…
The Query block enables you to create SQL code that you can use to join database tables or datasets, to get specific data from one or more database tables or datasets. The following demonstrates how to use the Query block to select rows from the input dataset lib_books.csv (which contains observations that describe a range…
The Python block enables you to use Python language programs in a Workflow. To use the Python block, you must have a Python interpreter installed and configured. The following demonstrates how the Python block can be used to sort an input lib_books.csv dataset that contains observations describing a range of books…
The Partition block enables you to split up a dataset variable into multiple parts. For example, if you are training a model, you can use this block to split up a dataset into training and testing datasets. The following demonstrates how to use the Partition block to split the input dataset IRIS.csv into three equal parts:…
The Mutate block enables you to create a new dataset variable based on existing variables in the dataset. The following demonstrates how to use an expression in the Mutate block to create a new variable in the loan_data dataset (containing observations each of which describes a completed loan and the person who took the…
The MLP block enables you to apply a multilayer perceptron (MLP) neural network model to a dataset. The following demonstrates how to use the MLP block to make predictions on a dependent variable from an input dataset basketball_shots.csv (containing observations describing a basketball shot in a professional game and the…
The Merge block enables you to combine multiple datasets into a single working dataset. The following demonstrates how to use the Merge block to combine two datasets Bananas.csv and Banans2.csv (each of which contain observations that describe a banana). Each dataset uses the same variables to describe a banana. * Import…
Click here to read the release notes for complete details on changes in this new version. Knowledge Studio 2022.3 is a release with major enhancements and bug fixes. The enhancements include more advanced and granular model control for Keras Deep Learning and XGBoost models, as well as model validation and scoring…
There is a node in Knowledge studio dedicated to write and execute python codes, enabling users to integrate them into their data analytics workflows. It’s located in the Action palette and is called Python Code. Jupyter notebook is a web based integrated development environment that is extensively used in data science…
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