--> atomsInstall("lolimot")
The Lolimot model (LOcal LInear MOdel Tree) is a model from the neural network family. It is able to learn every kind of non-linear relationship. Compared to a classical neural network, the learning phase of a LOLIMOT model is quite fast and deterministic. Once a model is learnt, you have an easy access to analytical derivatives of your model through a call to the function estim_der_lolimot. FUNCTIONS --------- lolimot_estim — Computes the Lolimot estimation for a given vector lolimot_estim_der — Analytical Lolimot derivative of a learnt model lolimot_estim_vec — Computes the Lolimot estimation for a given vector lolimot_export_der_model — Exports the partial derivative of a Lolimot model into a .sci file lolimot_export_model — Exports a Lolimot model to a .sci file lolimot_learn — Learns a Lolimot model for a given inputs/output data set lolimot_learn_valid — Learns a Lolimot model for a given inputs/output data set and using a validation data set lolimot_plot_part — Plot the Lolimot cuts for a 2D model lolimot_read — Read a Lolimot model lolimot_update — The function update the linear models of a given Lolimot model for a given learning data set lolimot_write — Saves a Lolimot model in a file DOCUMENTS --------- User manual: https://atoms.scilab.org/toolboxes/lolimot/2.1/files/Lolimot_21_manual.pdf Changelog: https://atoms.scilab.org/toolboxes/lolimot/2.1/files/changelog.txt WARNING: Most of functions have been renamed, with the 'lolimot_' prefix
Changes 2.0 -> 2.1 ------------------ * Portage to Scilab 6 - eval => evstr - getf => exec - printf => mprintf - MSDOS => getos - builder.sce * functions renamed: - estim_lolimot => lolimot_estim - estim_vec_lolimot => lolimot_estim_vec - estim_vec_lolimot => lolimot_estim_der - learn_lolimot => lolimot_learn - learn_valid_lolimot => lolimot_learn_valid - read_lolimot => lolimot_read - write_lolimot => lolimot_write - update_lolimot => lolimot_update - plot_lolimot_part => lolimot_plot_part - export_model => lolimot_export_model - export_der_model => lolimot_export_der_model * Help pages - First PDF version published - Encoding converted to UTF-8. - See also: short descriptions added. * Bugs fixed: - in learn_lolimot(), modelOut definition as a mlist() had a wrong syntax. - in estim_der_lolimot(), dU and dV initialized to [] yielded some operation +[] warnings and subsequent errors. - in export_model() and export_der_model(), "\%eps" instead of "%%eps" in mfprintf() yielded some errors. - The demo wrote a file in the current directory instead of in TMPDIR. - The demo yielded some warning about plot(). - Demo : Operation +[] issues fixed. * Improvements: - _export_model() and export_der_model() could record data only in the current directory.
Upload date : 2018-12-10 22:37:09 MD5 : 25db16e2745ad64be326beaf7838e268 SHA1 : fd53e7c5b7384afb379dee186983777a089ff49d Downloads : 1548
Upload date : 2018-12-10 22:23:23 MD5 : e3e67ad626d98747469415031634496f SHA1 : f4c051493582d99bfd0441101236114640a2ed4a Downloads : 409
Upload date : 2018-12-10 22:59:49 MD5 : fb01eb1d06bff3c4f1f72f447c4064b6 SHA1 : af45453881a7de5b168aea8a475600c5c6ad2d2f Downloads : 370
Upload date : 2018-12-10 23:00:04 MD5 : 9933a792e707718d8a2633fb3d9433e3 SHA1 : 27d165cb669a4cddca3add7e418a90c59eddcaca Downloads : 8076
Upload date : 2018-12-10 23:00:24 MD5 : 9933a792e707718d8a2633fb3d9433e3 SHA1 : 27d165cb669a4cddca3add7e418a90c59eddcaca Downloads : 1701
User manual
Upload date : 2018-12-10 22:36:29 MD5 : 4818924978fc98daf6d47ddc4a016b00 SHA1 : bf4f1dca9dcc0b351678cbcecdf6f8ecc5cc7de0 Downloads : 1254