I have been using machine learning in Analyst to sort my good images from bad and then flag out the bad images in my pipeline.
I am having a problem with the set of rules that I have established for my most recent dataset. When I apply the rules to my pipeline I get the error 'The rules describe objects instead of images'.
I have made sure to put the flag towards the end of my pipeline so that all objects and measurements defined in the rules have already been established.
My ruleset is:
IF (Mean_POMC_Intensity_MassDisplacement_MaskedcFos > 0.38562653800218671, [1.0000009685764013, -1.0000009685764013], [-0.81818182618657398, 0.81818182618657398])
IF (Mean_cFosPositivePOMC_Parent_POMC > 12.0, [-1.0, 1.0], [0.82001733289487133, -0.82001733289487133])
IF (Image_Count_POMC > 14.0, [-0.86594134574245418, 0.86594134574245418], [0.6921342642590802, -0.6921342642590802])
IF (Mean_POMC_Intensity_MaxIntensity_MaskedcFos > 0.0054698554886272177, [1.0000000000000016, -1.0000000000000016], [-0.68688988754914793, 0.68688988754914793])
IF (Median_POMC_Intensity_MassDisplacement_MaskedcFos > 0.17219759909115107, [0.7073601351888501, -0.7073601351888501], [-1.0, 1.0])
Any suggestions as to how I can get my pipeline happy with the rules?