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| <h1 id="tutorial-cli-and-profiling">Tutorial: CLI and profiling</h1> | |
| <p>The CLI supports five especially useful operational paths:</p> | |
| <ul> | |
| <li><code>run</code></li> | |
| <li><code>batch</code></li> | |
| <li><code>profile</code></li> | |
| <li><code>schema</code></li> | |
| <li><code>recommend</code></li> | |
| </ul> | |
| <p>All commands below use files that ship with this repository.</p> | |
| <h2 id="single-file-run">Single-file run</h2> | |
| <pre><code class="language-bash">python -m detime run \ | |
| --method SSA \ | |
| --series examples/data/example_series.csv \ | |
| --col value \ | |
| --param window=24 \ | |
| --param rank=6 \ | |
| --param primary_period=12 \ | |
| --out_dir out/ssa \ | |
| --output-mode summary \ | |
| --plot | |
| </code></pre> | |
| <p>Published stdout from the current docs build:</p> | |
| <pre><code class="language-text">Running SSA on examples/data/example_series.csv... | |
| Done. Results saved to out/ssa | |
| </code></pre> | |
| <p>Published output files:</p> | |
| <ul> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/single-file/example_series_summary.json">example_series_summary.json</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/single-file/example_series_plot.png">example_series_plot.png</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/single-file/example_series_error.png">example_series_error.png</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/single-file/command_stdout.txt">command_stdout.txt</a></li> | |
| </ul> | |
| <p>Representative summary excerpt:</p> | |
| <pre><code class="language-json">{ | |
| "mode": "summary", | |
| "trend": { "shape": [120], "std": 0.6917 }, | |
| "season": { "shape": [120], "std": 0.7036 }, | |
| "residual": { "shape": [120], "l2_norm": 0.0 }, | |
| "meta": { | |
| "backend_used": "native", | |
| "method": "SSA", | |
| "window": 24, | |
| "rank": 6 | |
| } | |
| } | |
| </code></pre> | |
| <p>Published plots from the same run:</p> | |
| <p><img alt="CLI single-file decomposition" src="../../assets/generated/tutorials/cli-and-profiling/single-file/example_series_plot.png" /></p> | |
| <p><img alt="CLI single-file residual" src="../../assets/generated/tutorials/cli-and-profiling/single-file/example_series_error.png" /></p> | |
| <h2 id="multivariate-run">Multivariate run</h2> | |
| <pre><code class="language-bash">python -m detime run \ | |
| --method MSSA \ | |
| --series examples/data/example_multivariate.csv \ | |
| --cols x0,x1 \ | |
| --param window=24 \ | |
| --param rank=8 \ | |
| --param primary_period=12 \ | |
| --out_dir out/mssa \ | |
| --output-mode summary | |
| </code></pre> | |
| <p>Published stdout from the current docs build:</p> | |
| <pre><code class="language-text">Running MSSA on examples/data/example_multivariate.csv... | |
| Done. Results saved to out/mssa | |
| </code></pre> | |
| <p>Published output files:</p> | |
| <ul> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/multivariate/example_multivariate_summary.json">example_multivariate_summary.json</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/multivariate/command_stdout.txt">command_stdout.txt</a></li> | |
| </ul> | |
| <p>Representative summary excerpt:</p> | |
| <pre><code class="language-json">{ | |
| "mode": "summary", | |
| "trend": { "shape": [120, 2] }, | |
| "season": { "shape": [120, 2] }, | |
| "components": { | |
| "modes": { "shape": [8, 120, 2] } | |
| }, | |
| "meta": { | |
| "backend_used": "python", | |
| "channel_names": ["x0", "x1"] | |
| } | |
| } | |
| </code></pre> | |
| <h2 id="batch-processing">Batch processing</h2> | |
| <pre><code class="language-bash">python -m detime batch \ | |
| --method STD \ | |
| --glob "examples/data/batch/*.csv" \ | |
| --col value \ | |
| --param period=12 \ | |
| --out_dir out/std_batch \ | |
| --output-mode meta | |
| </code></pre> | |
| <p>Published stdout from the current docs build:</p> | |
| <pre><code class="language-text">Found 2 files. Processing... | |
| </code></pre> | |
| <p>Published output files:</p> | |
| <ul> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/batch/series_a_meta.json">series_a_meta.json</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/batch/series_b_meta.json">series_b_meta.json</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/batch/command_stdout.txt">command_stdout.txt</a></li> | |
| </ul> | |
| <p>Representative <code>meta</code> payload excerpt from <code>series_a_meta.json</code>:</p> | |
| <pre><code class="language-json">{ | |
| "mode": "meta", | |
| "meta": { | |
| "method": "STD", | |
| "period": 12, | |
| "n_cycles": 2, | |
| "backend_used": "native", | |
| "input_shape": [24] | |
| }, | |
| "diagnostics": { | |
| "component_names": ["dispersion", "seasonal_shape"] | |
| } | |
| } | |
| </code></pre> | |
| <h2 id="runtime-profiling">Runtime profiling</h2> | |
| <p>Text output now respects <code>--format text</code> on stdout as well as saved reports.</p> | |
| <pre><code class="language-bash">python -m detime profile \ | |
| --method SSA \ | |
| --series examples/data/example_series.csv \ | |
| --col value \ | |
| --param window=24 \ | |
| --param rank=6 \ | |
| --param primary_period=12 \ | |
| --repeat 5 \ | |
| --warmup 1 \ | |
| --format text | |
| </code></pre> | |
| <p>Published stdout from the current docs build:</p> | |
| <pre><code class="language-text">method=SSA | |
| backend_requested=auto | |
| backend_used=native | |
| speed_mode=exact | |
| repeat=5 | |
| warmup=1 | |
| ... | |
| </code></pre> | |
| <p>Raw text report:</p> | |
| <ul> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/profile/ssa_profile_text.txt">ssa_profile_text.txt</a></li> | |
| </ul> | |
| <p>For multivariate JSON profiling:</p> | |
| <pre><code class="language-bash">python -m detime profile \ | |
| --method MSSA \ | |
| --series examples/data/example_multivariate.csv \ | |
| --cols x0,x1 \ | |
| --param window=24 \ | |
| --param primary_period=12 \ | |
| --repeat 3 \ | |
| --format json | |
| </code></pre> | |
| <p>Published JSON output:</p> | |
| <ul> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/profile/mssa_profile.json">mssa_profile.json</a></li> | |
| </ul> | |
| <p>Representative excerpt:</p> | |
| <pre><code class="language-json">{ | |
| "method": "MSSA", | |
| "backend_used": "python", | |
| "columns": ["x0", "x1"], | |
| "repeat": 3, | |
| "summary": { | |
| "mean_ms": 11.9110, | |
| "min_ms": 11.6017, | |
| "p95_ms": 12.0886 | |
| } | |
| } | |
| </code></pre> | |
| <h2 id="backend-selection-and-saved-reports">Backend selection and saved reports</h2> | |
| <pre><code class="language-bash">python -m detime profile \ | |
| --method STD \ | |
| --series examples/data/example_series.csv \ | |
| --col value \ | |
| --param period=12 \ | |
| --backend native \ | |
| --repeat 10 \ | |
| --warmup 2 \ | |
| --format text \ | |
| --output out/profile/std_native.txt | |
| </code></pre> | |
| <p>Published command stdout:</p> | |
| <pre><code class="language-text">Profile report written to out/profile/std_native.txt | |
| </code></pre> | |
| <p>Published saved report:</p> | |
| <ul> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/profile/std_native.txt">std_native.txt</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/profile/std_native_stdout.txt">std_native_stdout.txt</a></li> | |
| </ul> | |
| <h2 id="machine-facing-helpers">Machine-facing helpers</h2> | |
| <pre><code class="language-bash">python -m detime schema --name method-registry | |
| python -m detime recommend --length 192 --channels 3 --prefer accuracy --format text | |
| </code></pre> | |
| <p>Published outputs:</p> | |
| <ul> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/machine/method_registry_schema.json">method_registry_schema.json</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/machine/recommend_text.txt">recommend_text.txt</a></li> | |
| <li><a href="../../assets/generated/tutorials/cli-and-profiling/machine/recommend.json">recommend.json</a></li> | |
| </ul> | |
| <p>Published recommendation text excerpt:</p> | |
| <pre><code class="language-text">1. MSSA (13.50) | |
| Multivariate SSA for shared-structure decomposition across channels. | |
| 2. STDR (11.75) | |
| Robust seasonal-trend decomposition for noisier periodic signals. | |
| 3. STD (9.25) | |
| Fast seasonal-trend decomposition with dispersion-aware diagnostics. | |
| </code></pre></div> | |
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