1. A computer-implemented method, the method comprising: presenting a graphical user interface of a web application on a client device, wherein the graphical user interface presents multiple cells in a matrix of cells, wherein each cell of the multiple cells is an interactive element; executing a first script found in a first cell of the multiple cells, the first script invoking (i) a first model of a plurality of predictive models using data of a first plurality of the cells to train the first model and (ii) a second model of the plurality of predictive models using the data of the first plurality of the cells to train the second model; and executing a second script found in a second cell of the multiple cells, the second script invoking (i) the trained first model with data from a second plurality of cells as input and using output from the trained first model to determine a value of a third cell in the matrix of cells, and (ii) the trained second model with data from the second plurality of cells as input and using output from the trained second model to determine a value of a fourth cell in the matrix of cells.
1. A computer-implemented method, the method comprising: presenting a graphical user interface of a web application on a client device, wherein the graphical user interface presents multiple cells in a matrix of cells, wherein each cell of the multiple cells is an interactive element; executing a first script found in a first cell of the multiple cells, the first script invoking (i) a first model of a plurality of predictive models using data of a first plurality of the cells to train the first model and (ii) a second model of the plurality of predictive models using the data of the first plurality of the cells to train the second model; and executing a second script found in a second cell of the multiple cells, the second script invoking (i) the trained first model with data from a second plurality of cells as input and using output from the trained first model to determine a value of a third cell in the matrix of cells, and (ii) the trained second model with data from the second plurality of cells as input and using output from the trained second model to determine a value of a fourth cell in the matrix of cells. 5. The method of claim 1 , wherein the first script further invokes (i) the first model using data from one or more web application files to train the first model and (ii) the second model using the data from one or more web application files to train the second model.