![]() ![]() Lesson Title: Life Cycle of a Monarch Butterfly Subject(s): Science Grade/Level/Setting: 3rd Grade, Classroom Prerequisite Skills/Prior Knowledge: K2 Experience using models to represent progression of events. > DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', max_depth=1, Direct Instruction Lesson Plan Template General Information. Y_train = np.reshape(np.array(Y_train), (dimY2, ))ĭtree= DecisionTreeRegressor(random_state=0, max_depth=1) Y_train = np.array()]) X_train = np.reshape(np.array(X_train), (dimX1*dimX2, dimX3)) If your y-coordinate was 76 you would do: fslroi sub-004T1wwrapped sub-004T1wback 0 256 76 180 0 128 Now just type fslroi to see the usage. Youre now ready to extract the back part of the head into a temporary file. X_train = np.array(,ĭimX1, dimX2, dimX3 = np.array(X_train).shape Now use fslinfo to find out what the image matrix dimensions are (dim1,dim2,dim3). You need to separate them and passing as (30, ), as follows: from ee import DecisionTreeRegressor Furthermore, your Y_train has shape (1, 30) which means you are passing 30 data at once. Your are passing a 3D array with X_train, and fit only allows you to be 2D. The reason why you can't train your data is because 2 things: One solution can be:ĪMSWER EDITTED AFTER READING HIS/HER COMMENTS Yarray-like of shape (n_samples,) or (n_samples, n_outputs)įit function expects 2D arrays in both X and Y arrays. #Fslinfo dim1 dim2 dim3 codeany suggestions?įirst of all, I recommend you to convert X and Y as numpy arrays, but I can not be 100% sure if your variables are indeed, since you haven't uploaded your code here. and couldn't solve it with reshape since these are lists. I get the error ValueError: Found array with dim 3. See the programming guide, section 4.3.1.2. dimBlock () and dimGrid () are setting the initial values using constructors. When i try to perform dtree= DecisionTreeRegressor(random_state=0, max_depth=1) dim3 is just a structure designed for storing block and grid dimensions. My train data x is this: ,Īnd y: )] At sub-brick #0 '?' datum type is float: 0 to 1127įslinfo bold_pvalues_contrast1_ am trying to perform decision trees with some train and test data which are in lists named x&y. Number of time steps = 160 Time step = 2.00000s Origin = 0.00000s I-to-S extent: 0.000 -to- 128.000 -step- 4.000 mm This may then print something like the following to your terminal window: datatype FLOAT32 dim1 80 dim2 80 dim3 44 dim4 50. Storage Space: 540,672 (541 thousand ) bytes Identifier Code: NII_wFvfILlbwjznQCEILpaJQ Creation Date: Wed Apr 29 14:38:11 2015īyte Order: LSB_FIRST I am working with BOXI 3.1 SP 1 CMC : Produkt: 12.1.0 My Client does have installed Richclienttools 12.5.0 Not to the report. ** WARNING: NIfTI file bold_pvalues_contrast1_ dimensions altered since AFNI extension was addedĭataset File: bold_pvalues_contrast1_ OutputNiftiStatisticsEPI->nvox = EPI_DATA_W * EPI_DATA_H * EPI_DATA_D Nifti_image *outputNiftiStatisticsEPI = nifti_copy_nim_info(inputfMRI) How do I change the nifti header such that AFNI understands that there is only one volume? If I look at it with fslinfo it says that there is only one volume. ![]() If I look at it with 3dinfo it says that there are 160 volumes. Table1 includes all records from Table2 (Dim1 is common Dim2 differs) and looks like in the below example. I have created a nifti file in my own fMRI program. ![]()
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