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Kudzidzira Kwakasimbiswa neVanoongorora
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Nhungamiro yehunyanzvi
Tuning yeHyperparameters
Hyperparameters ndiwo marongero aunosarudza usati wadzidziswa, senge chiyero chekudzidza kana saizi yemuenzaniso, iyo modhi haidzidze yega.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Tuning them well is often the difference between a mediocre model and a great one.
Kudzika Kwakadzika
Model parameters (zviyero) zvinodzidzwa kubva data panguva yekudzidziswa. Hyperparameters akasiyana: iwo mapfundo aunoisa pamberi anotonga kuti kudzidza kunoitika sei, senge chiyero chekudzidza, saizi yebatch, nhamba yematanho, simba rekuita, uye kuti kudzidzisa kwenguva yakareba sei. Iwo haagone kugadziridzwa nekudzika kwe gradient zvakananga, saka iwe unotsvaga hunhu hwakanaka nekudzidzisa akawanda evamiriri emhando uye nekuaenzanisa pane yekusimbisa seti. Iyo yakapusa nzira yekutsvaga grid, kuyedza musanganiswa wese pane yakafanotsanangurwa gidhi, asi inorema zvakanyanya. Kutsvaga zvisina kujairika kunowanzo kuwana zvigadziriso zvakanaka nekukurumidza nesampling misanganiswa. Yakanyanya kukwirisa Bayesian optimization inovaka probabilistic modhi iyo marongero anotaridzika achivimbisa uye anotarisa kutsvaga ikoko. Chiyero chekudzidza chinowanzova ndicho chinonyanya kukanganisa hyperparameter kuti ukwane.
Kuitwa muNyika yeChokwadi
Kutsvairira mareti ekudzidza mukati memaodha akati wandei ehukuru kuti uwane kukosha uko network inodzidzira nekukurumidza pasina kutsauka.
Kushandisa kutsvaga zvisina tsarukano kugadzirisa hudzamu hwemuti, nhamba yemiti, uye mwero wekudzidza we gradient-boosting modhi pane tabular data.
Kumhanyisa Bayesian optimization yekubatanidza kusimba kwesimba uye batch saizi yetiweki yakadzika pane shoma GPU bhajeti.
Kushandisa Hyperband kudzidzisa akawanda ezvirongwa muchidimbu, wozopa mamwe epochs chete kune vanonyanya kuvimbisa vanopona.
Ramangwana reHyperparameter Tuning
Manual uye grid-based tuning iri kupa nzira yekudzidza muchina (AutoML) uye kutsvaga kwakapusa seBayesian optimization uye Hyperband, iyo inoshandisa compute zvakanyanya. Sezvo mhando dzenheyo dzichikura, kudzokorodza kwakazara pamuyedzo kunowedzera kudhura zvakanyanya, saka kutarisa kuri kuchinjika kune akachipa proxies, kuyera mitemo inofanotaura marongero akanaka kubva kudiki, uye kugadzirisa madhiraivha asina kuremerwa pachinzvimbo chemodhi yakazara. Tarisira kuti tuning iwedzere kuita otomatiki uye kuziva bhajeti, nemidziyo inotengeserana pachena mutengo wekutsvaga uchipesana nezvinotarisirwa kuwana.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
- Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Chenjera
- Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
- Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
- Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
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What is Hyperparameter Tuning?
Hyperparameters ndiwo marongero aunosarudza usati wadzidziswa, senge chiyero chekudzidza kana saizi yemuenzaniso, iyo modhi haidzidze yega. Kuvagadzirisa zvakanaka kazhinji musiyano pakati pemediocre modhi uye yakakura.
Chii chinosiyanisa hyperparameter kubva kune yakajairwa modhi parameter?
Uremu (maparamita) anodzidzwa kubva kune data panguva yekudzidziswa. Hyperparameters, senge chiyero chekudzidza kana nhamba yezvikamu, zvinosarudzwa zvisati zvaitika uye kutonga kuti kudzidziswa kunofamba sei.
Ndeipi inowanzoonekwa seyakanyanya kukanganisa hyperparameter kuti iite mukudzidza kwakadzama?
Mwero wekudzidza unobata zvakanyanya kuti uye nekukurumidza sei modhi inosangana. Kunyanya kukwira uye kudzidziswa kunosiyana; yakaderera uye inokambaira kana kunamira.
Nei kutsvaga zvisina tsarukano kuchiwanzo pfuura grid kutsvaga hyperparameter tuning?
Grid yekutsvaga inorasa miyedzo pazviyero zvisina kukosha. Tsvakiridzo isina kujairika inoongorora nzvimbo zvakanyanya uye kazhinji inosvika magadzirirwo akanaka nemiedzo mishoma.
Ko Bayesian optimization inosarudza sei hyperparameter kumisikidzwa yekuyedza inotevera?
Bayesian optimization inoenzanisira hukama pakati pezvigadziriso uye zvibodzwa zvekusimbisa, wozosarudza muyedzo unotevera kuenzanisa kuongorora kwematunhu asina chokwadi nekushandiswa kweanovimbisa.
Nei iyo yekupedzisira bvunzo seti ichifanira kuramba isina kubatwa panguva ye hyperparameter tuning?
Tuning inosarudza marongero anotaridzika zvakanyanya pane chero data raunoongorora. Kana iri iyo bvunzo seti, yako yakashumwa maitiro anowedzera. Tuning inoshandisa yakaparadzana yekusimbisa seti pachinzvimbo.
Ramba uchidzidza
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