-
Simple Example:
```r
task % lrn("clust.kmeans", centers = x))
design = benchmark_grid(
tasks = task,
learners = kmeans_centers,
resamplings = rsmp("insample")
)
bmr = benchmark(design)
…
-
Skim Massey and Denton 1998, figuring out their "5 ways to measure segregation." Is one of these the best for us to use to quantify our d.v.?
-
Hi,
great library! Works like a charm!!
Just for a discussion: Do you think about implementing some recent research work/improvements over scagnostics?
Some pointers here are:
- [Improving the…
-
Post questions here for this week's fundamental readings:
Grimmer, Justin, Molly Roberts, Brandon Stewart. 2022. Text as Data. Princeton University Press: Chapters 10, 12, 6, 13 —“Principles of Di…
lkcao updated
8 months ago
-
Inspired by https://twitter.com/JennyBryan/status/777953052129054720 (as well as @almartin82 and @chrishaid):
> Any good #rstats packages or screeds on finding duplicate-ish observations? I.e. agree …
-
## Tasks
1. all PCGs BLAST all-vs-all search - diamond.py
2. gene sets construction
3. real alignments to respective sample contigs specific to gene coordinates
4. module detection of coverage-c…
-
Cluster the data sets train_smpl, train_smpl_ (apply required filters filters and/or attribute selections if needed), using the k-means algorithm:
- first excluding the class attribute (useclass…
-
Hi, I have summarized the insights from Power BI and papers that we can probably include in dataprep. I think we can have a discussion on this.
1. **Category outliers (top/bottom)**:
Highlights ca…
-
**Describe the bug**
After recompiling the binaries from source for AVX-512 cores Octopus no longer runs as normal, producing error:
'Phred: negative error
[2024-07-15 12:55:12] probability -…
-
Noted from https://github.com/DistrictDataLabs/yellowbrick/issues/1205