Pretrained Classifiers #
16 classifiers ready to use. Click a model to try it.
doom_fireLive Demo
Real-time Doom gameplay classifier (24 game-state features) inbox_routerLive Demo
Train and classify emails into Work, Family, Promo, Notifications
poker_decisionLive Demo
4 AI players play Texas Hold’em using game-state classifiers
sms_spam99.1%
SMS spam detection
dbpedia96.0%
Wikipedia article ontology classification
imdb94.8%
Movie review sentiment (positive/negative)
banking7794.3%
Banking customer service intent detection
ag_news90.6%
News article topic classification
sst290.1%
Movie review sentiment (positive/negative)
clinc_oos88.4%
Intent detection with out-of-scope massive_intent88.1%
Amazon MASSIVE voice command intents
tweet_eval_offensive81.0%
Offensive language detection
tweet_eval_emotion78.1%
Tweet emotion detection
emotion75.5%
Text emotion detection
tweet_eval_sentiment66.2%
Tweet sentiment analysis
snli65.6%
Natural language inference
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Labels
Info
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Usage
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doom_fire
Real-time Doom gameplay classifier. Extracts 24 game-state features and decides: FIRE, TURN LEFT, or TURN RIGHT. Logistic regression, no neural network, no GPU.
3Classes
24Features
<1msLatency
CPURuntime
100HP
26Ammo
0Kills
0Enemies
1Episode
Decision Log
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Inbox Classifier Demo
Train an inbox router from 24 labeled examples, then watch it classify new messages in real time. CPU only, no API keys.
4Classes
24Train examples
~50msLatency
CPURuntime
Training Data
Inbox
Incoming
Work 0
Family 0
Promo 0
Notifications 0
terminal
pip install jeffy-classify
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Usage
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Poker AI Demo
Four AI players play Texas Hold'em. Each decision is a Jeffy classifier running on 18 game-state features. No neural network, no GPU.
4Players
4Actions
18Features
<1msClassify
0pot
Alice 1000
Bob 1000
Carol 1000
Dave 1000
preflop Hand #1