Basic baseline models with scikit-learn LinearRegression or RidgeCV (#3)

- Basic baseline models with scikit-learn LinearRegression or RidgeCV (c6df30fdc5e4edd9c95c61f3ecab6bb633395d3a)


Co-authored-by: Jiaxin (Cindy) Tu <cindyhfls@users.noreply.huggingface.co>

trained_encoding_models_basic/README.rtf

@@ -0,0 +1,25 @@
+{\rtf1\ansi\ansicpg1252\cocoartf2638
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\paperw11900\paperh16840\margl1440\margr1440\vieww14820\viewh8400\viewkind0
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 Models trained with default parameters and features from the tutorial:\
+Trained around Jan 26, 2025.\
+\
+modality = "all"  #@param ["visual", "audio", "language", "all"]\
+\
+excluded_samples_start = 5  #@param \{type:"slider", min:0, max:20, step:1\}\
+\
+excluded_samples_end = 5  #@param \{type:"slider", min:0, max:20, step:1\}\
+\
+hrf_delay = 3  #@param \{type:"slider", min:0, max:10, step:1\}\
+\
+stimulus_window = 5  #@param \{type:"slider", min:1, max:20, step:1\} # how much history to use\
+\
+movies_train = ["friends-s01", "friends-s02", "friends-s03", "friends-s04", "friends-s05", "movie10-bourne", "movie10-figures", "movie10-life", "movie10-wolf"] # @param \{allow-input: true\}\
+\
+movies_val = ["friends-s06"] # @param \{allow-input: true\}\
+\
+One}

trained_encoding_models_basic/trained_encoding_model_sub-01_modality-all_sklearn_LinearRegression.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39921a6ed83dafbdfeada53672b9d6c83c9a87de1579b7979552fbe4a49690b8
+size 6404465

trained_encoding_models_basic/trained_encoding_model_sub-01_modality-all_sklearn_RidgeCV.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58cdbe9b99afbbca00762c9c5daa4e788e173e4d1dacb1de1dd7771cd11885c9
+size 12808465

trained_encoding_models_basic/trained_encoding_model_sub-02_modality-all_sklearn_LinearRegression.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48d397e757636a78b2ff88041d16f10ce484ebbed89b5ac6ebd20df5ec30e32e
+size 6404465

trained_encoding_models_basic/trained_encoding_model_sub-02_modality-all_sklearn_RidgeCV.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed5edad7ceb0de791d82895009f1fa230ff46115dbfb839f09b9234654118397
+size 12808465

trained_encoding_models_basic/trained_encoding_model_sub-03_modality-all_sklearn_LinearRegression.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68b9f457017bb7d9aa87e3ef4b2eb18cc301a7f830057d48d015e5d09b9b114e
+size 6404465

trained_encoding_models_basic/trained_encoding_model_sub-03_modality-all_sklearn_RidgeCV.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b381cd55716e6f24ba59f2a90dd31d6483b82c70608daa5ea39bffed5e99a838
+size 12808465

trained_encoding_models_basic/trained_encoding_model_sub-05_modality-all_sklearn_LinearRegression.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd8541f42c4cca8ee86e919ab5a47e008599b17e957fc4e17aac7b1df3a4686b
+size 6404465

trained_encoding_models_basic/trained_encoding_model_sub-05_modality-all_sklearn_RidgeCV.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fef776b8f032b8ee858f5b54d58414835a7068f845b901615fe4df995d1cb57b
+size 12808465