Gregory Starr comments

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                                            Gregory Starr

an error encounter in "bias = data[:,sv_of_interest,'L1','data']*(3.0E8/f1)-data[:,sv_of_interest,'C1','data']"

can you send me the actual rinex file? On Fri, Nov 17, 2017 at 8:27 AM, Welson wrote: > Hi, @gregstarr , thanks for your work in > this package....

an error encounter in "bias = data[:,sv_of_interest,'L1','data']*(3.0E8/f1)-data[:,sv_of_interest,'C1','data']"

I added a function readRinexNav3 see if that works On Nov 17, 2017 9:40 AM, "Greg Starr" wrote: > can you send me the actual rinex file? > > On...

an error encounter in "bias = data[:,sv_of_interest,'L1','data']*(3.0E8/f1)-data[:,sv_of_interest,'C1','data']"

No, when I was working on these packages, I was only using pseudorange and phase to calculate TEC and keep track of loss of lock events. The rinex files I...

an error encounter in "bias = data[:,sv_of_interest,'L1','data']*(3.0E8/f1)-data[:,sv_of_interest,'C1','data']"

That would be awesome, good luck! On Nov 19, 2017 8:38 PM, "Welson" wrote: > Hi, @gregstarr > Thanks for your knid reply, In this case, I will try to...

Cannot export XGBClassifier model: TypeError: unsupported operand type(s) for *: 'int' and 'NoneType'

set `num_parallel_tree` in `XGBClassifier` e.g. `XGBClassifier(booster="gbtree", tree_method="hist", num_parallel_tree=1)`

Disagreement with SWARM satellite coordinate conversion

Thanks for looking into this! I will reach out to someone involved with SWARM and will re-convert for my project.

ENH: adding array broadcast to non scalar outputs

Okay thanks for letting me know. I'd be happy to do it.

ENH: adding array broadcast to non scalar outputs

Hello, I have not forgotten about this, I am in the midst of finishing my masters thesis and so will have time in about a month.

WIP: fix RandAugment behavior in tf graph mode

> In my opinion, some exception handling should be added for the NumPy backend in your test case, particularly due to the use of the fit method. yes I agree,...

WIP: fix RandAugment behavior in tf graph mode

> I’m not entirely sure about that. I think a step-by-step breakdown is needed to identify what’s causing the slowdown in the JAX backend. Ok I will take a look...