Comments (1)
This could be done by using pandas DataFrames for the design matrix, where columns and indices can tell us what x and y (for a 2D matrix) represent. Required changing the Stimulus class.
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Related Issues (18)
- doctrings
- Tutorial notebooks
- crossvalidate_fit needs to respect different filter parameters for train and test. HOT 1
- Cleanup code
- Refactor classes HOT 2
- Add LMFit and DataFrames for parameters
- Set up PRF-Analyze docker images for prfpy
- Write full tests for basic models, based on pre-made simulations
- Grid fit GLM with slope only HOT 1
- Get rid of nistats dependency HOT 2
- Include HRF parameters at grid stage
- Make HRF convolution method consistent between grid prediction and return_prediction HOT 2
- scipy different versions use fft/fftpack HOT 1
- Enable selective iterative fitting of only certain parameters, in a unit-wise fashion HOT 1
- L-BFGS-B with equal lower/upper bounds for some variables stopped working in recent scipy update HOT 1
- Warnings, errors, exceptions
- Readthedocs integration
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