-
Create our stepwise progression for the rating change models and implement SMOTE to try to get some predictions that aren't just the majority class all the time.
We are trying to predict: "Upgrade"…
-
Including previous rating is making the prediction problem (even for actual rating) very boring. It's hard for our NLP features to add anything on top of it.
Permutation Test - it's clearly dominat…
-
> ```r
> > 循环周期 > 季回归 %
> matrix(dimnames = list(培训数据$年月日时分, '闭市价')) %>%
> tk_ts(frequency = 循环周期)
> rownames(季回归) > 季回归
> Time Series:
> Start = c(1, 1)
> End = c(2,…
-
## Keyword: sgd
There is no result
## Keyword: optimization
### Multi-Target Decision Making under Conditions of Severe Uncertainty
- **Authors:** Authors: Christoph Jansen, Georg Schollmeyer, Thoma…
-
In our test environment, we have a MinIO cluster set up with the official operator, featuring 2 MinIO server nodes with 2 EBS volumes each, running in EC:2 mode. Recently, we upgraded the MinIO vers…
-
There's a nice new paper on disaggregating predictors in cross-classified multilevel models (see below). Below, I show the way this could be done manually using datawizard functions. Would be great to…
-
## Template for enhancement requests
* Enhancement: In SPSS, there is an ability to define fully each step in a block format in a Stepwise or Hierarchical Linear Regression. For example, if I on…
-
**Describe the bug**
The debug trace option does not seem to report omitted files due to being detected as a 3rd party library, only as not matching the source specification. It also doesn't list fi…
-
### Description
Reintroduce stepwise/forward/backward regression with factors
### Purpose
To use dummy variables in multiple regression
### Use-case
_No response_
### Is your feature…
-
We will later implement similar functionality for carbon footprint, energy/carbon impacts, mode counts, and mode share by distance.
Saving relevant info to the database (Pre-compute as much as poss…