In real applications of data envelopment analysis (DEA), there are a number of pitfalls that could have a major influence on the efficiency. Some of these pitfalls are avoidable and the others remain problematic
*/ void meetInto(Fact fact, Fact target); /** * Node Transfer function for the analysis. * The function transfers data-flow from in (out) fact to out (in) fact * for forward (backward) analysis. * * @return true if the transfer changed the out (in) fact, otherwise false. ...
In data analysis, you commonly perform calculations on groups of data. For such calculations, you split one or more data variables into groups of data, perform a calculation on each group, and combine the results into one or more output variables. You can specify the groups using one or mor...
Extended Data Fig. 2 PCA and Neural State Variables visualization. PCA and Neural State Variables visualization. Here we visualize the interesting symmetrical structures encoded in the Neural State Variables from single pendulum (A) and rigid double pendulum (B) after applying PCA algorithm on them....
Data tables are one of the most useful tools for sensitivity analysis in financial modeling. They are both powerful and easy to implement. The majority of sensitivity tables are built using one or two variable inputs. While there is no direct way of incr
Output table, returned as a table or a timetable. The output contains the unstacked data variables, the grouping variables, and the first value of each group from any constant variables. The order of the data in the output is based on the order of the unique values in the grouping variab...
Discrete data requires large sample sizes for graphs and statistical analysis. Collecting a large enough sample can be expensive in terms of time, money, and staff. On the other hand, it can be easier to collect than continuous data if you have clear definitions of the data categories. Disc...
Use dummy variables in regression analysis and ANOVA to indicate values of categorical predictors. dummyvartreatsNaNvalues and undefined categorical levels ingroupas missing data and returnsNaNvalues inD. If a column of ones is introduced in the matrixD, then the resulting matrixX = [ones(size(D...
Threshold above which we send InfiniBand data in a separate message which can leverage adaptive routing. Values accepted¶ Size in bytes, the default value is 8192. Setting it above NCCL_BUFFSIZE will disable the use of adaptive routing completely. ...
If the predictor data is in a table, the functions assume that a variable is categorical if it is a logical vector, categorical vector, character array, string array, or cell array of character vectors. The fitting functions that use decision trees assume ordered categorical vectors to be conti...