![]() ![]() The Voodoo2 (1.5) version (spboatv2.zip) (glide2x):Ģ) Extract the spbasetup.exe content to a HDD folder.Ĭan't add the archive for steps 2 and 3 (the file is too big). This version needs glide.dll, sst1init.dll and fxmemmap.vxd in the %system% folder (names only so zero-byte files are ok). The "3DFX card detected" choice will be always active.ĥ) (64-bit OSs) Use standard "copy then run the IS3 setup32.exe" method.Ħ) Edit the HKLM\SOFTWARE\Criterion Studios\Speedboat Attack\1.0\VideoDisk registry key. So - use fixed InstallShield scrips (setup.ins) to install.ġ) Install SpeedboatAttack.sdb ("sdbinst ").ģ) Replace english\setup.ins to the fixed version.Ĥ) Run setup.exe. And not installs the glide version in NT OSs. ![]() The installer not detects Voodoo2 and later cards. WinME Voodoo2 SLI - the glide2x version works ok. Glide2x version crashes in demo (nt.dll offset 121ba), wrong cockpit, missed effects, black screen with the cursor after a race. NGlide 2.10 - glide1x version crashes after the 3dfx logo (module rwdlvd21.dll offset 2dee). Voodoo2 SLI - glide2x version freezes in demo. Uses glide1x (original version) or glide2x (Voodoo2 version and the AMD patch (?)). If you get ImportError: No module named mglearn you can try to install mglearn into your python environment using the command pip install mglearn in your terminal or !pip install mglearn in Jupyter Notebook. Īll datasets are included in the repository, with the exception of the aclImdb dataset, which you can download from the page of Andrew Maas. ![]() This repository provides the notebooks from which the book is created, together with the mglearn library of helper functions to create figures and datasets.įor the curious ones, the cover depicts a hellbender. Most of the book can also be used with previous versions of scikit-learn, though you need to adjust the import for everything from the model_selection module, mostly cross_val_score, train_test_split and GridSearchCV. ![]() The books requires the current stable version of scikit-learn, that is 0.20.0. You can find details about the book on the O'Reilly website. This repository holds the code for the forthcoming book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido. Introduction to Machine Learning with Python ![]()
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January 2023
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