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Sun, 05 Nov 2023 04:08:26 -0800 (PST) From: Simon Tournier <zimon.toutoune@gmail.com> To: Suhail <suhail@bayesians.ca> Cc: Suhail <suhail@bayesians.ca>, Felix Lechner via <help-guix@gnu.org>, Julien Lepiller <julien@lepiller.eu>, Felix Lechner <felix.lechner@lease-up.com> Subject: Re: Turning off tests leads to a different store item In-Reply-To: <87zfzvylg4.fsf@> References: Date: Sun, 05 Nov 2023 13:07:42 +0100 Message-ID: <86y1fcv1wx.fsf@gmail.com> MIME-Version: 1.0 Content-Type: text/plain Received-SPF: pass client-ip=2a00:1450:4864:20::133; envelope-from=zimon.toutoune@gmail.com; helo=mail-lf1-x133.google.com X-Spam_score_int: -20 X-Spam_score: -2.1 X-Spam_bar: -- X-Spam_report: (-2.1 / 5.0 requ) BAYES_00=-1.9, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, FREEMAIL_FROM=0.001, RCVD_IN_DNSWL_NONE=-0.0001, SPF_HELO_NONE=0.001, SPF_PASS=-0.001, T_SCC_BODY_TEXT_LINE=-0.01 autolearn=ham autolearn_force=no X-Spam_action: no action X-BeenThere: help-guix@gnu.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: <help-guix.gnu.org> List-Unsubscribe: <https://lists.gnu.org/mailman/options/help-guix>, <mailto:help-guix-request@gnu.org?subject=unsubscribe> List-Archive: <https://lists.gnu.org/archive/html/help-guix> List-Post: <mailto:help-guix@gnu.org> List-Help: <mailto:help-guix-request@gnu.org?subject=help> List-Subscribe: <https://lists.gnu.org/mailman/listinfo/help-guix>, <mailto:help-guix-request@gnu.org?subject=subscribe> Errors-To: help-guix-bounces+larch=yhetil.org@gnu.org Sender: help-guix-bounces+larch=yhetil.org@gnu.org X-Migadu-Flow: FLOW_IN X-Migadu-Country: US X-Migadu-Spam-Score: -6.42 X-Spam-Score: -6.42 X-Migadu-Queue-Id: CF60759F90 X-Migadu-Scanner: mx13.migadu.com X-TUID: CNCusVb0oETA Hi, On Fri, 03 Nov 2023 at 14:13, Suhail <suhail@bayesians.ca> wrote: > In addition to the above assumption, software engineering makes another > assumption that (at times) needs to be relaxed in data science. In > software engineering, the tests are assumed to have a definitive notion > of "pass" vs "fail". Whereas in data science applications, the "tests" > may not have a definitive "pass" or "fail" semantics and/or may > entertain multiple such interpretations. While I have been calling these > tests so far, perhaps it may be better to call these something other > than that. If so, "statistical report" may be more descriptive. Maybe, what you would like is the description of a workflow, e.g., https://guixwl.org/ Cheers, simon