1,748,320 research outputs found
Frank J. Smith Iron Fence Works
Trade card for Frank J. Smith Iron Fence WorksDate obtained from http://www.pbs.org/opb/historydetectives/feature/trade-cards/ Recto: [imprinted] Frank J. Smith Iron Fence Works, 113 North Akard St., Dallas, Texas. Verso: [imprinted] Gen'l Act. American Powder Mills. Frank J. Smith Iron Fence Works, 113 Sycamore Street. Dealers in Plain & Ornamental Wire, Steel, & Iron Fence, Monumental Work, Roof Cresting, Chairs, Settees, Vases, Flower Stands, Stable Fixtures, Bank and Counter Railing, Frank J. Smith, Dallas, Texas
J. Smith
"Gnr. J Smith 70 AASL Bty. NX14491[1]".Gunner J. Smith 70 Anti Aircraft Search Light Battery. NX14491[1]
Dr. Eleanor J. Smith Black History Collection
Doctor Eleanor J. Smith is an African American studies educator, musician, university system chancellor, author, and visual artist. Dr. Smith was faculty member of the University of Cincinnati’s Afro-American Studies Department and William Patterson University. After obtaining a doctorate in African American studies and becoming a university professor, Dr. Smith wrote and directed performances about the Black experience during the 1970s
A Gisha
Doctor Eleanor J. Smith is an African American studies educator, musician, university system chancellor, author, and visual artist. Dr. Smith was faculty member of the University of Cincinnati’s Afro-American Studies Department and William Patterson University. After obtaining a doctorate in African American studies and becoming a university professor, Dr. Smith wrote and directed performances about the Black experience during the 1970s
brian-j-smith/MRMCaov: MRMCaov 0.2.0
Version Updates
0.2.0
Implement fast algorithm for unbiased covariance estimation.
Remove deprecated functions proproc_roc(), proproc_sens(), and proproc_spec().
Rename argument method to cov in mrmc(), srmc(), and stmc()
brian-j-smith/MRMCaov.m: MRMCaov.m 0.2
MRMCaov: Matlab toolkit for multi-reader multi-case analysis of varianc
brian-j-smith/MachineShop: MachineShop 3.4.2
Version Updates
3.4.2
Add argument select to rfe().
Fix object perf_stats not found in optim()
brian-j-smith/MachineShop: MachineShop 3.6.2
Version Updates
3.6.2
Add backward compatibility for older MLModel objects without a na.rm slot.
Fix CRAN check warning: S3 generic/method consistency.
Update role_binom(), role_case(), and role_surv() to remove the requirement that their variables be present in newdata supplied to predict()
brian-j-smith/MachineShop: MachineShop 3.6.1
Version Updates
3.6.1
Compatibility updates for ggplot2, Matrix, and recipes package dependencies
brian-j-smith/MachineShop: MachineShop 3.3.0
Version Updates
3.3.0
Add argument .type with options "glance" and "tidy" to summary.MLModelFit().
Add case components data (stratification and grouping variables) to print.Resample().
Add class and methods for ModelSpecification.
Add training parameters set functions
set_monitor(): monitoring of resampling and optimization
set_optim_bayes(): Bayesian optimization with a Gaussian process model
set_optim_bfgs(): low-memory quasi-Newton BFGS optimization
set_optim_grid(): exhaustive and random grid searches
set_optim_method(): user-defined optimization functions
set_optim_pso(): particle swarm optimization
set_optim_sann(): simulated annealing
Add performance() method for MLModel to replicate the previous behavior of summary.MLModel().
Add performance(), plot(), and summary() methods for TrainingStep.
Add support for unordered plots of Resample performances.
Changes to argument type of predict().
Add option "default" for model-specific default predictions.
Add option "numeric" for numeric predictions.
Change option "prob" to be for probabilities between 0 and 1.
Change confusion() default behavior to convert factor probabilities to levels.
Rename argument control to object in set functions.
Rename argument f to fun in roc_index().
Return a ListOf training step summaries from summary.MLModel().
Return a TrainingStep object from rfe().
Support tibble-convertible objects as arguments to expand_params().
Internal changes
Add class EnsembleModel.
Add classes MLOptimization, GridSearch, NullOptimization, RandomGridSearch, and SequentialOptimization.
Add class NullControl.
Add slot control to PerformanceCurve.
Add slot method to TrainingStep.
Add slot optim to TrainingParams.
Add slot params to MLInput.
Inherit class SelectedModel from EnsembleModel.
Inherit class StackedModel from EnsembleModel.
Inherit class SuperModel from StackedModel.
Rename slot case_comps to vars in Resample.
Rename slot grid to log in TrainingStep.
Fixes
error predicting single factor response in GLMModel
'size(x@performance, 3)' error in print.TrainingStep()
'Unmatched tuning parameters' error in TunedModel()
3.2.1
Fix 'data' argument of wrong type error in terms.formula().
Require >= 3.1.0 version of cli package
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