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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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Currently, we have DTMC, CTMC, and Bernoulli Process as the stochastic processes in `stats/stochatic_process_types.py`. Therefore, I plan to add more such processes.
We can divide(for API discussion)…
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Forecast data: SubX (subseasonal predictions) is hosted at IRIDL via opendap, not in cloud yet, this a proposal to put SubX into pangeo cloud
- size: 100-500GB per variable per model: 5 dimensional: …
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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## Brief project description
I'm currently involved in [stochrare](https://github.com/cbherbert/stochrare), a python library that provides tools to simulate and analyse stochastic process (understand…
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Hi, I ran omniCLIP with command:
```
omniCLIP.py --annot \
.GenCodeStyle.gff.db \
--genome-dir sep_chrom \
--clip-files WT_SPO_REP1_final.Aligned.out.sorted.DEDUPLICATED.bam \
--clip-files WT_SP…