Input
- Input Table: paragraphs_input, which has paragraphs about common analytics topics (regression, decision Trees, and so on)
paraid | paratopic | paratext |
---|---|---|
1 | Decision Trees | Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. It is one of the predictive modeling approaches used in statistics, data mining and machine learning. Tree models where the target variable can take a finite set of values are called classification trees. In these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. |
2 | Simple Regression | In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. In other words, simple linear regression fits a straight line through the set of n points in such a way that makes the sum of squared residuals of the model (that is, vertical distances between the points of the data set and the fitted line) as small as possible |
... | ... | ... |
SQL Call
SELECT * FROM NGramSplitter_MLE ( ON paragraphs_input USING TextColumn ('paratext') Delimiter (' ') Grams ('4-6') OverLapping ('true') ConvertToLowerCase ('true') Reset ('[.,?!]') Punctuation ('[`~#^&*()-]') OutputTotalGramCount ('true') Accumulate ('paraid', 'paratopic') ) AS dt ORDER BY paraid, paratopic, ngram;
Output
paraid paratopic ngram n frequency totalcnt ------ ------------------------- --------------------------------------------------------- - --------- -------- 1 decision trees a decision tree as 4 1 73 1 decision trees a decision tree as a 5 1 66 1 decision trees a decision tree as a predictive 6 1 60 1 decision trees a finite set of 4 1 73 1 decision trees a finite set of values 5 1 66 1 decision trees a finite set of values are 6 1 60 1 decision trees a predictive model which 4 1 73 1 decision trees a predictive model which maps 5 1 66 1 decision trees a predictive model which maps observations 6 1 60 ... 2 simple regression a linear regression model 4 1 55 2 simple regression a linear regression model with 5 1 52 2 simple regression a linear regression model with a 6 1 49 2 simple regression a single explanatory variable 4 1 55 2 simple regression a straight line through 4 1 55 2 simple regression a straight line through the 5 1 52 2 simple regression a straight line through the set 6 1 49 2 simple regression a way that makes 4 1 55 2 simple regression a way that makes the 5 1 52 ...
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