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Releases: dcnieho/I2MC_Python

I2MC Fixation-classification algorithm

08 Oct 09:46

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  • fix crash when input to kmeans2 is two identical points

I2MC Fixation-classification algorithm

04 Oct 12:46

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I2MC Fixation-classification algorithm

01 Oct 10:57

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  • numpy >= 2 compatibility

I2MC Fixation-classification algorithm

12 Jul 18:49

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Updating release workflow (no relevant change for user from v2.2.3)

I2MC Fixation-classification algorithm

11 Jul 13:11

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Fixed limits of yaxis for plots of the vertical eye signal in I2MC.plot.plot()

I2MC Fixation-classification algorithm

05 Jan 15:05

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added support for numpy 1.24 and above

I2MC Fixation-classification algorithm

07 Nov 15:05

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v2.2.1:
I2MC.plot now works with data for only a single eye

I2MC Fixation-classification algorithm

07 Nov 13:37

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v2.2:

  • endT and dur fields of fixation output are now consistent
  • plot submodule no longer needs to be imported separately
  • some enhancements to plot function:
    • can now set a different unit for the axis label
    • doesn't assume time starts at 0
    • can now set x and y signals min and max instead of only max

I2MC Fixation-classification algorithm

13 Aug 12:34

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v2.1.4: fix crash in plotting function

I2MC Fixation-classification algorithm

13 May 11:02

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v2.1.3: filtfilt uses a different padding length in python/scipy than matlab, adjusted padlen to match matlab